June 2020 - tor-dev - lists.torproject.org

#32888 IPv6 and 'Address' option
by c 15 Jun '20

15 Jun '20

Trac <https://trac.torproject.org/projects/tor/ticket/32888> describes that "we should also log [for] IPv4 and IPv6: the Address torrc option" and as tor(1) states, 'Address' takes only an IPv4 address and port. So what is suggested here? Make 'Address' support IPv6 to be consistent with other options ('ORPort', 'SocksPort', 'TransPort', 'DNSPort', and the like all support multiple declarations per torrc, both IPv4 and IPv6)? If we will have IPv6-only relays in the future, this option would make quite a bit of sense. Since I'm on the topic of #32888, I went ahead and pushed the IPv6 logging portion to <https://github.com/torproject/tor/pull/1932> and have tested with 'ORPort [::1]:9001' and it seems to log successfully. Not a big change, so I expect it to be an easy merge. Caitlin

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Support for full DNS resolution and DNSSEC validation
by Christian Hofer 14 Jun '20

14 Jun '20

Hi there, I have a proposal regarding DNS name resolution. Ticket: https://trac.torproject.org/projects/tor/ticket/34004 Proposal: https://trac.torproject.org/projects/tor/attachment/ticket/34004/317-secure… Implementation: https://github.com/torproject/tor/pull/1869 All functioniality is behind the DNSResolver feature flag, so don't forget to activate it before you start testing. Please let me know what you think. BR Christian

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Walking onions specifications: Project wrap-up
by Nick Mathewson 10 Jun '20

10 Jun '20

On a grant from the zcash foundation, I've been working on a full specification for the Walking Onions design. This is the last update for the spec project. My previous updates are linked below: Week 1: formats, preliminaries, git repositories, binary diffs, metaformat decisions, and Merkle Tree trickery. https://lists.torproject.org/pipermail/tor-dev/2020-March/014178.html Week 2: Specifying details of SNIP and ENDIVE formats, in CDDL. https://lists.torproject.org/pipermail/tor-dev/2020-March/014181.html Week 3: Expanding ENDIVEs into SNIPs. https://lists.torproject.org/pipermail/tor-dev/2020-March/014194.html Week 4: Voting (part 1) and extending circuits. https://lists.torproject.org/pipermail/tor-dev/2020-March/014207.html Week 5: Voting (part 2) https://lists.torproject.org/pipermail/tor-dev/2020-April/014218.html Week 6: Editing, voting rules, and client behavior (part 1) https://lists.torproject.org/pipermail/tor-dev/2020-April/014222.html Week 7: Exit policies: How do they work? https://lists.torproject.org/pipermail/tor-dev/2020-April/014232.html Week 8: Onion services, relay honesty, migration and families https://lists.torproject.org/pipermail/tor-dev/2020-April/014255.html Week 9: (There was no week 9) Week 10: Pushing towards completion https://lists.torproject.org/pipermail/tor-dev/2020-May/014281.html == Since the last update The last couple weeks of the walking onions project were mostly the "fiddly bits" left over from previous work. I had to edit for consistency and clarity, move text around, add specifications for missing details, and so on. There were parts of the voting design that didn't actually work as written, and needed to get tweaked around. Index voting was tricky for a few reasons: notably, index weights are a complex function of bandwidths, which themselves are voted on. I had hoped that we could move the algorithms we use for weighting out of the consensus algorithm and into the authorities, but for now, I think we're stuck with having them as yet another thing authorities need to implement identically. At least the new consensus system itself is extensible, so we have a clear path forward to a better consensus approach for indices (if we ever figure one out). I also needed to figure out handling for VoterCerts: I had done the first version of the spec for how they should appear in parameters documents before I actually figured out how voting would work, and the two approaches weren't compatible. This took some revision, but I think it should work out now. Similarly, I had known that we'd need to use the "detached signatures" mechanism from the existing consensus protocol, but the Walking Onions spec didn't actually allow for this. Fortunately, this was an easy chance to make. And overall, I went through a pretty large number of places in the document where there were "XXXX" comments indicating things I had to come back to later. With that, the first version Walking Onions proposal was ready to go out as [PROP323]. You can see a rendered version of it over at [PROP323-RENDERED], though there will be a better URL for that in the future. I also put out the remaining side related proposals ([PROP321] for families, and [PROP322] for link specifiers for directory ports). == Project recap When I first described Walking Onions [PROP300], I had only the general outlines of a design for a more efficient Tor network: a couple of tricks to allow clients to continue building secure paths through the network without having to know a list of relays on the network. But I had known there would be remaining problems to solve, and listed them in that proposal. Thanks to this grant, I've been able to flesh out Walking Onions to a specified design that I think we could actually build. In doing so, I ran into the typical specification curse, where each change led to a need for other changes. Notably: * The need for a new kind of directory-like structure led to the need for a more flexible and parsable metadocument format, and a more generic voting algorithm for authorities. * When designing the new meta-format, I found a better approach for handling expiration and clock synchronization between clients and relays that should allow us to be a little more lax with skew, while better resisting attacks based on serving obsolete information. * The search for a reasonable solution to exit policies led to a hybrid extraction/designed approach for clustering exit ports by their correlatedness, then designing exit policies around semantic similarity in port types. * When enumerating the various ways that clients need to be able to request SNIPs and circuits, I found a need for a span-based SNIP query request, which I hadn't previously known that we'd need. This simplifies some of our logic. * (and more; please see previous updates.) The resulting documents (proposals 318 through 323) are not final: I believe that as we continue to discuss them, and eventually implement them, we'll find further opportunities for improvement--and for fixing things that I missed when I was designing and writing all of this. But I think we've got a much firmer grasp of this project now. I think there are parts that we could in principle start building now: the preliminary proposals 318 (limiting protocol versions), 319 (cell fragmentation) and 321 (improved family handling) are high on my list for now, if we get time. And now the design iteration begins! [PROP300] https://gitweb.torproject.org/torspec.git/plain/proposals/300-walking-onion… [PROP321] https://gitweb.torproject.org/torspec.git/plain/proposals/321-happy-familie… [PROP322] https://gitweb.torproject.org/torspec.git/plain/proposals/322-dirport-links… [PROP323] https://gitweb.torproject.org/torspec.git/plain/proposals/323-walking-onion… [PROP323-RENDERED] https://people.torproject.org/~nickm/volatile/rendered.html

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onion_client_auth_add Flags=Permanent fails with 553 Unable to store creds for
by Patrick Schleizer 07 Jun '20

07 Jun '20

Hi! sudo -u debian-tor socat - UNIX-CONNECT:/var/run/tor/control AUTHENTICATE "test" 250 OK onion_client_auth_add m5bmcnsk64naezc26scz2xb3l3n2nd5xobsljljrpvf77tclmykn7wid x25519:uBKh6DGrkcFxB1adYuyKQltUDDUT9IZrOsne3nfHbHI= 252 Registered client and decrypted desc onion_client_auth_add m5bmcnsk64naezc26scz2xb3l3n2nd5xobsljljrpvf77tclmykn7wid x25519:uBKh6DGrkcFxB1adYuyKQltUDDUT9IZrOsne3nfHbHI= Flags=Permanent 553 Unable to store creds for "m5bmcnsk64naezc26scz2xb3l3n2nd5xobsljljrpvf77tclmykn7wid" tor --version Tor version 0.4.3.5. Should be implemented according to: https://trac.torproject.org/projects/tor/ticket/32562 Cheers, Patrick

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onionbalance useful on same server / for high-spec non-location hidden servers?
by Patrick Schleizer 03 Jun '20

03 Jun '20

Would it be useful to run multiple Tor instances and onionbalance on the very same server? Or does that totally defeat the purpose of onionbalance? In my case, it's not a location hidden service. Just an alternative way to connect to a server which is available over clearnet anyhow. I guess the presumption of onionbalance is that a location hidden server shouldn't produce too much Tor traffic as that would be suspicious? Is a single Tor client a bottleneck? I.e. are multiple Tor clients more performant than only one Tor client? Does onionbalance "only" work around limitations of individual servers in CPU / IO / bandwidth? In other words, assume CPU / IO / bandwidth is "unlimited" on one server. (And ignore failover.) Does it make sense to run multiple Tor instances and onionbalance or would a single Tor instance without onionbalance be sufficient? Cheers, Patrick

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Proposal 323: Specification for Walking Onions
by Nick Mathewson 03 Jun '20

03 Jun '20

``` Filename: 323-walking-onions-full.md Title: Specification for Walking Onions Author: Nick Mathewson Created: 3 June 2020 Status: Draft ```  <a id='S1'></a> # Introduction: A Specification for Walking Onions In Proposal 300, I introduced Walking Onions, a design for scaling Tor and simplifying clients, by removing the requirement that every client know about every relay on the network. This proposal will elaborate on the original Walking Onions idea, and should provide enough detail to allow multiple compatible implementations. In this introduction, I'll start by summarizing the key ideas of Walking Onions, and then outline how the rest of this proposal will be structured.  <a id='S1.1'></a> ## Remind me about Walking Onions again? With Tor's current design, every client downloads and refreshes a set of directory documents that describe the directory authorities' views about every single relay on the Tor network. This requirement makes directory bandwidth usage grow quadratically, since the directory size grows linearly with the number of relays, and it is downloaded a number of times that grows linearly with the number of clients. Additionally, low-bandwidth clients and bootstrapping clients spend a disproportionate amount of their bandwidth loading directory information. With these drawbacks, why does Tor still require clients to download a directory? It does so in order to prevent attacks that would be possible if clients let somebody else choose their paths through the network, or if each client chose its paths from a different subset of relays. Walking Onions is a design that resists these attacks without requiring clients ever to have a complete view of the network. You can think of the Walking Onions design like this: Imagine that with the current Tor design, the client covers a wall with little pieces of paper, each representing a relay, and then throws a dart at the wall to pick a relay. Low-bandwidth relays get small pieces of paper; high-bandwidth relays get large pieces of paper. With the Walking Onions design, however, the client throws its dart at a _blank wall_, notes the position of the dart, and asks for the relay whose paper _would be_ at that position on a "standard wall". These "standard walls" are mapped out by directory authorities in advance, and are authenticated in such a way that the client can receive a proof of a relay's position on the wall without actually having to know the whole wall. Because the client itself picks the position on the wall, and because the authorities must vote together to build a set of "standard walls", nobody else controls the client's path through the network, and all clients can choose their paths in the same way. But since clients only probe one position on the wall at a time, they don't need to download a complete directory. (Note that there has to be more than one wall at a time: the client throws darts at one wall to pick guards, another wall to pick middle relays, and so on.) In Walking Onions, we call a collection of standard walls an "ENDIVE" (Efficient Network Directory with Individually Verifiable Entries). We call each of the individual walls a "routing index", and we call each of the little pieces of paper describing a relay and its position within the routing index a "SNIP" (Separable Network Index Proof). For more details about the key ideas behind Walking Onions, see proposal 300. For more detailed analysis and discussion, see "Walking Onions: Scaling Anonymity Networks while Protecting Users" by Komlo, Mathewson, and Goldberg.  <a id='S1.2'></a> ## The rest of this document This proposal is unusually long, since Walking Onions touches on many aspects of Tor's functionality. It requires changes to voting, directory formats, directory operations, circuit building, path selection, client operations, and more. These changes are described in the sections listed below. Here in section 1, we briefly reintroduce Walking Onions, and talk about the rest of this proposal. Section 2 will describe the formats for ENDIVEs, SNIPs, and related documents. Section 3 will describe new behavior for directory authorities as they vote on and produce ENDIVEs. Section 4 describes how relays fetch and reconstruct ENDIVEs from the directory authorities. Section 5 has the necessary changes to Tor's circuit extension protocol so that clients can extend to relays by index position. Section 6 describes new behaviors for clients as they use Walking Onions, to retain existing Tor functionality for circuit construction. Section 7 explains how to implement onion services using Walking Onions. Section 8 describes small alterations in client and relay behavior to strengthen clients against some kinds of attacks based on relays picking among multiple ENDIVEs, while still making the voting system robust against transient authority failures. Section 9 closes with a discussion of how to migrate from the existing Tor design to the new system proposed here.  <a id='S1.2.1'></a> ### Appendices Additionally, this proposal has several appendices: Appendix A defines commonly used terms. Appendix B provides definitions for CDDL grammar productions that are used elsewhere in the documents. Appendix C lists the new elements in the protocol that will require assigned values. Appendix D lists new network parameters that authorities must vote on. Appendix E gives a sorting algorithm for a subset of the CBOR object representation. Appendix F gives an example set of possible "voting rules" that authorities could use to produce an ENDIVE. Appendix G lists the different routing indices that will be required in a Walking Onions deployment. Appendix H discusses partitioning TCP ports into a small number of subsets, so that relays' exit policies can be represented only as the group of ports that they support. Appendix Z closes with acknowledgments.  <a id='S1.2.2'></a> ### Related proposals The following proposals are not part of the Walking Onions proposal, but they were written at the same time, and are either helpful or necessary for its implementation. 318-limit-protovers.md restricts the allowed version numbers for each subprotocol to the range 0..63. 319-wide-everything.md gives a general mechanism for splitting relay commands across more than one cell. 320-tap-out-again.md attempts to remove the need for TAP keys in the HSv2 protocol. 321-happy-families.md lets families be represented with a single identifier, rather than a long list of keys 322-dirport-linkspec.md allows a directory port to be represented with a link specifier.  <a id='S2'></a> # Document Formats: ENDIVEs and SNIPs Here we specify a pair of related document formats that we will use for specifying SNIPs and ENDIVEs. Recall from proposal 300 that a SNIP is a set of information about a single relay, plus proof from the directory authorities that the given relay occupies a given range in a certain routing index. For example, we can imagine that a SNIP might say: * Relay X has the following IP, port, and onion key. * In the routing index Y, it occupies index positions 0x20002 through 0x23000. * This SNIP is valid on 2020-12-09 00:00:00, for one hour. * Here is a signature of all the above text, using a threshold signature algorithm. You can think of a SNIP as a signed combination of a routerstatus and a microdescriptor... together with a little bit of the randomized routing table from Tor's current path selection code, all wrapped in a signature. Every relay keeps a set of SNIPs, and serves them to clients when the client is extending by a routing index position. An ENDIVE is a complete set of SNIPs. Relays download ENDIVEs, or diffs between ENDIVEs, once every voting period. We'll accept some complexity in order to make these diffs small, even though some of the information in them (particularly SNIP signatures and index ranges) will tend to change with every period.  <a id='S2.1'></a> ## Preliminaries and scope  <a id='S2.1.1'></a> ### Goals for our formats We want SNIPs to be small, since they need to be sent on the wire one at a time, and won't get much benefit from compression. (To avoid a side-channel, we want CREATED cells to all be the same size, which means we need to pad up to the largest size possible for a SNIP.) We want to place as few requirements on clients as possible, and we want to preserve forward compatibility. We want ENDIVEs to be compressible, and small. We want successive ENDIVEs to be textually similar, so that we can use diffs to transmit only the parts that change. We should preserve our policy of requiring only loose time synchronization between clients and relays, and allow even looser synchronization when possible. Where possible, we'll make the permitted skew explicit in the protocol: for example, rather than saying "you can accept a document 10 minutes before it is valid", we will just make the validity interval start 10 minutes earlier.  <a id='S2.1.2'></a> ### Notes on Metaformat In the format descriptions below, we will describe a set of documents in the CBOR metaformat, as specified in RFC 7049. If you're not familiar with CBOR, you can think of it as a simple binary version of JSON, optimized first for simplicity of implementation and second for space. I've chosen CBOR because it's schema-free (you can parse it without knowing what it is), terse, dumpable as text, extensible, standardized, and very easy to parse and encode. We will choose to represent many size-critical types as maps whose keys are short integers: this is slightly shorter in its encoding than string-based dictionaries. In some cases, we make types even shorter by using arrays rather than maps, but only when we are confident we will not have to make changes to the number of elements in the future. We'll use CDDL (defined in RFC 8610) to describe the data in a way that can be validated -- and hopefully, in a way that will make it comprehensible. (The state of CDDL tooling is a bit lacking at the moment, so my CDDL validation will likely be imperfect.) We make the following restrictions to CBOR documents that Tor implementations will _generate_: * No floating-point values are permitted. * No tags are allowed unless otherwise specified. * All items must follow the rules of RFC 7049 section 3.9 for canonical encoding, unless otherwise specified. Implementations SHOULD accept and parse documents that are not generated according to these rules, for future extensibility. However, implementations SHOULD reject documents that are not "well-formed" and "valid" by the definitions of RFC 7049.  <a id='S2.1.3'></a> ### Design overview: signing documents We try to use a single document-signing approach here, using a hash function parameterized to accommodate lifespan information and an optional nonce. All the signed CBOR data used in this format is represented as a binary string, so that CBOR-processing tools are less likely to re-encode or transform it. We denote this below with the CDDL syntax `bstr .cbor Object`, which means "a binary string that must hold a valid encoding of a CBOR object whose type is `Object`".  <a id='S2.1.4'></a> ### Design overview: SNIP Authentication I'm going to specify a flexible authentication format for SNIPs that can handle threshold signatures, multisignatures, and Merkle trees. This will give us flexibility in our choice of authentication mechanism over time. * If we use Merkle trees, we can make ENDIVE diffs much much smaller, and save a bunch of authority CPU -- at the expense of requiring slightly larger SNIPs. * If Merkle tree root signatures are in SNIPs, SNIPs get a bit larger, but they can be used by clients that do not have the latest signed Merkle tree root. * If we use threshold signatures, we need to depend on not-yet-quite-standardized algorithms. If we use multisignatures, then either SNIPs get bigger, or we need to put the signed Merkle tree roots into a consensus document. Of course, flexibility in signature formats is risky, since the more code paths there are, the more opportunities there are for nasty bugs. With this in mind, I'm structuring our authentication so that there should (to the extent possible) be only a single validation path for different uses. With this in mind, our format is structured so that "not using a Merkle tree" is considered, from the client's point of view, the same as "using a Merkle of depth 1". The authentication on a single snip is structured, in the abstract, as: - ITEM: The item to be authenticated. - PATH: A string of N bits, representing a path through a Merkle tree from its root, where 0 indicates a left branch and 1 indicates a right branch. (Note that in a left-leaning tree, the 0th leaf will have path 000..0, the 1st leaf will have path 000..1, and so on.) - BRANCH: A list of N digests, representing the digests for the branches in the Merkle tree that we are _not_ taking. - SIG: A generalized signature (either a threshold signature or a multisignature) of a top-level digest. - NONCE: an optional nonce for use with the hash functions. Note that PATH here is a bitstring, not an integer! "0001" and "01" are different paths, and "" is a valid path, indicating the root of the tree. We assume two hash functions here: `H_leaf()` to be used with leaf items, and `H_node()` to be used with intermediate nodes. These functions are parameterized with a path through the tree, with the lifespan of the object to be signed, and with a nonce. To validate the authentication on a SNIP, the client proceeds as follows: Algorithm: Validating SNIP authentication Let N = the length of PATH, in bits. Let H = H_leaf(PATH, LIFESPAN, NONCE, ITEM). While N > 0: Remove the last bit of PATH; call it P. Remove the last digest of BRANCH; call it B. If P is zero: Let H = H_node(PATH, LIFESPAN, NONCE, H, B) else: Let H = H_node(PATH, LIFESPAN, NONCE, B, H) Let N = N - 1 Check wither SIG is a correct (multi)signature over H with the correct key(s). Parameterization on this structure is up to the authorities. If N is zero, then we are not using a Merkle tree. The generalize signature SIG can either be given as part of the SNIP, or as part of a consensus document. I expect that in practice, we will converge on a single set of parameters here quickly (I'm favoring BLS signatures and a Merkle tree), but using this format will give clients the flexibility to handle other variations in the future. For our definition of `H_leaf()` and `H_node()`, see "Digests and parameters" below.  <a id='S2.1.5'></a> ### Design overview: timestamps and validity. For future-proofing, SNIPs and ENDIVEs have separate time ranges indicating when they are valid. Unlike with current designs, these validity ranges should take clock skew into account, and should not require clients or relays to deliberately add extra tolerance to their processing. (For example, instead of saying that a document is "fresh" for three hours and then telling clients to accept documents for 24 hours before they are valid and 24 hours after they are expired, we will simply make the documents valid for 51 hours.) We give each lifespan as a (PUBLISHED, PRE, POST) triple, such that objects are valid from (PUBLISHED - PRE) through (PUBLISHED + POST). (The "PUBLISHED" time is provided so that we can more reliably tell which of two objects is more recent.) Later (see section 08), we'll explain measures to ensure that hostile relays do not take advantage of multiple overlapping SNIP lifetimes to attack clients.  <a id='S2.1.6'></a> ### Design overview: how the formats work together Authorities, as part of their current voting process, will produce an ENDIVE. Relays will download this ENDIVE (either directly or as a diff), validate it, and extract SNIPs from it. Extracting these SNIPs may be trivial (if they are signed individually), or more complex (if they are signed via a Merkle tree, and the Merkle tree needs to be reconstructed). This complexity is acceptable only to the extent that it reduces compressed diff size. Once the SNIPs are reconstructed, relays will hold them and serve them to clients.  <a id='S2.1.7'></a> ### What isn't in this section This section doesn't tell you what the different routing indices are or mean. For now, we can imagine there being one routing index for guards, one for middles, and one for exits, and one for each hidden service directory ring. (See section 06 for more on regular indices, and section 07 for more on onion services.) This section doesn't give an algorithm for computing ENDIVEs from votes, and doesn't give an algorithm for extracting SNIPs from an ENDIVE. Those come later. (See sections 03 and 04 respectively.)  <a id='S2.2'></a> ## SNIPs Each SNIP has three pieces: the part of the SNIP that describes the router, the part of that describes the SNIP's place within an ENDIVE, and the part that authenticates the whole SNIP. Why two _separate_ authenticated pieces? Because one (the router description) is taken verbatim from the ENDIVE, and the other (the location within the ENDIVE) is computed from the ENDIVE by the relays. Separating them like this helps ensure that the part generated by the relay and the part generated by the authorities can't interfere with each other. ; A SNIP, as it is sent from the relay to the client. Note that ; this is represented as a three-element array. SNIP = [ ; First comes the signature. This is computed over ; the concatenation of the two bstr objects below. auth: SNIPSignature, ; Next comes the location of the SNIP within the ENDIVE. index: bstr .cbor SNIPLocation, ; Finally comes the information about the router. router: bstr .cbor SNIPRouterData, ] (Computing the signature over a concatenation of objects is safe, since the objects' content is self-describing CBOR, and isn't vulnerable to framing issues.)  <a id='S2.2.1'></a> ### SNIPRouterData: information about a single router. Here we talk about the type that tells a client about a single router. For cases where we are just storing information about a router (for example, when using it as a guard), we can remember this part, and discard the other pieces. The only required parts here are those that identify the router and tell the client how to build a circuit through it. The others are all optional. In practice, I expect they will be encoded in most cases, but clients MUST behave properly if they are absent. More than one SNIPRouterData may exist in the same ENDIVE for a single router. For example, there might be a longer version to represent a router to be used as a guard, and another to represent the same router when used as a hidden service directory. (This is not possible in the voting mechanism that I'm working on, but relays and clients MUST NOT treat this as an error.) This representation is based on the routerstats and microdescriptor entries of today, but tries to omit a number of obsolete fields, including RSA identity fingerprint, TAP key, published time, etc. ; A SNIPRouterData is a map from integer keys to values for ; those keys. SNIPRouterData = { ; identity key. ? 0 => Ed25519PublicKey, ; ntor onion key. ? 1 => Curve25519PublicKey, ; list of link specifiers other than the identity key. ; If a client wants to extend to the same router later on, ; they SHOULD include all of these link specifiers verbatim, ; whether they recognize them or not. ? 2 => [ LinkSpecifier ], ; The software that this relay says it is running. ? 3 => SoftwareDescription, ; protovers. ? 4 => ProtoVersions, ; Family. See below for notes on dual encoding. ? 5 => [ * FamilyId ], ; Country Code ? 6 => Country, ; Exit policies describing supported port _classes_. Absent exit ; policies are treated as "deny all". ? 7 => ExitPolicy, ; NOTE: Properly speaking, there should be a CDDL 'cut' ; here, to indicate that the rules below should only match ; if one if the previous rules hasn't matched. ; Unfortunately, my CDDL tool doesn't seem to support cuts. ; For future tor extensions. * int => any, ; For unofficial and experimental extensions. * tstr => any, } ; For future-proofing, we are allowing multiple ways to encode ; families. One is as a list of other relays that are in your ; family. One is as a list of authority-generated family ; identifiers. And one is as a master key for a family (as in ; Tor proposal 242). ; ; A client should consider two routers to be in the same ; family if they have at least one FamilyId in common. ; Authorities will canonicalize these lists. FamilyId = bstr ; A country. These should ordinarily be 2-character strings, ; but I don't want to enforce that. Country = tstr; ; SoftwareDescription replaces our old "version". SoftwareDescription = [ software: tstr, version: tstr, extra: tstr ] ; Protocol versions: after a bit of experimentation, I think ; the most reasonable representation to use is a map from protocol ; ID to a bitmask of the supported versions. ProtoVersions = { ProtoId => ProtoBitmask } ; Integer protocols are reserved for future version of Tor. tstr ids ; are reserved for experimental and non-tor extensions. ProtoId = ProtoIdEnum / int / tstr ProtoIdEnum = &( Link : 0, LinkAuth : 1, Relay : 2, DirCache : 3, HSDir : 4, HSIntro : 5, HSRend : 6, Desc : 7, MicroDesc: 8, Cons : 9, Padding : 10, FlowCtrl : 11, ) ; This type is limited to 64 bits, and that's fine. If we ever ; need a protocol version higher than 63, we should allocate a ; new protoid. ProtoBitmask = uint ; An exit policy may exist in up to two variants. When port classes ; have not changed in a while, only one policy is needed. If port ; classes have changed recently, however, then SNIPs need to include ; each relay's position according to both the older and the newer policy ; until older network parameter documents become invalid. ExitPolicy = SinglePolicy / [ SinglePolicy, SinglePolicy ] ; Each single exit policy is a tagged bit array, whose bits ; correspond to the members of the list of port classes in the ; network parameter document with a corresponding tag. SinglePolicy = [ ; Identifies which group of port classes we're talking about tag: unsigned, ; Bit-array of which port classes this relay supports. policy: bstr ]  <a id='S2.2.2'></a> ### SNIPLocation: Locating a SNIP within a routing index. The SNIPLocation type can encode where a SNIP is located with respect to one or more routing indices. Note that a SNIPLocation does not need to be exhaustive: If a given IndexId is not listed for a given relay in one SNIP, it might exist in another SNIP. Clients should not infer that the absence of an IndexId in one SNIPLocation for a relay means that no SNIPLocation with that IndexId exists for the relay. ; SNIPLocation: we're using a map here because it's natural ; to look up indices in maps. SNIPLocation = { ; The keys of this mapping represent the routing indices in ; which a SNIP appears. The values represent the index ranges ; that it occupies in those indices. * IndexId => IndexRange / ExtensionIndex, } ; We'll define the different index ranges as we go on with ; these specifications. ; ; IndexId values over 65535 are reserved for extensions and ; experimentation. IndexId = uint32 ; An index range extends from a minimum to a maximum value. ; These ranges are _inclusive_ on both sides. If 'hi' is less ; than 'lo', then this index "wraps around" the end of the ring. ; A "nil" value indicates an empty range, which would not ; ordinarily be included. IndexRange = [ lo: IndexPos, hi: IndexPos ] / nil ; An ExtensionIndex is reserved for future use; current clients ; will not understand it and current ENDIVEs will not contain it. ExtensionIndex = any ; For most routing indices, the ranges are encoded as 4-byte integers. ; But for hsdir rings, they are binary strings. (Clients and ; relays SHOULD NOT require this.) IndexPos = uint / bstr A bit more on IndexRanges: Every IndexRange actually describes a set of _prefixes_ for possible index positions. For example, the IndexRange `[ h'AB12', h'AB24' ]` includes all the binary strings that start with (hex) `AB12`, `AB13`, and so on, up through all strings that start with `AB24`. Alternatively, you can think of a `bstr`-based IndexRange *(lo, hi)* as covering *lo*`00000...` through *hi*`ff...`. IndexRanges based on the uint type work the same, except that they always specify the first 32 bits of a prefix.  <a id='S2.2.3'></a> ### SNIPSignature: How to prove a SNIP is in the ENDIVE. Here we describe the types for implementing SNIP signatures, to be validated as described in "Design overview: Authentication" above. ; Most elements in a SNIPSignature are positional and fixed SNIPSignature = [ ; The actual signature or signatures. If this is a single signature, ; it's probably a threshold signature. Otherwise, it's probably ; a list containing one signature from each directory authority. SingleSig / MultiSig, ; algorithm to use for the path through the merkle tree. d_alg: DigestAlgorithm, ; Path through merkle tree, possibly empty. merkle_path: MerklePath, ; Lifespan information. This is included as part of the input ; to the hash algorithm for the signature. LifespanInfo, ; optional nonce for hash algorithm. ? nonce: bstr, ; extensions for later use. These are not signed. ? extensions: { * any => any }, ] ; We use this group to indicate when an object originated, and when ; it should be accepted. ; ; When we are using it as an input to a hash algorithm for computing ; signatures, we encode it as an 8-byte number for "published", ; followed by two 4-byte numbers for pre-valid and post-valid. LifespanInfo = ( ; Official publication time in seconds since the epoch. These ; MUST be monotonically increasing over time for a given set of ; authorities on all SNIPs or ENDIVEs that they generate: a ; document with a greater `published` time is always more recent ; than one with an earlier `published` time. ; ; Seeing a publication time "in the future" on a correctly ; authenticated document is a reliable sign that your ; clock is set too far in the past. published: uint, ; Value to subtract from "published" in order to find the first second ; at which this object should be accepted. pre-valid: uint32, ; Value to add to "published" in order to find the last ; second at which this object should be accepted. The ; lifetime of an object is therefore equal to "(post-valid + ; pre-valid)". post-valid: uint32, ) ; A Lifespan is just the fields of LifespanInfo, encoded as a list. Lifespan = [ LifespanInfo ] ; One signature on a SNIP or ENDIVE. If the signature is a threshold ; signature, or a reference to a signature in another ; document, there will probably be just one of these per SNIP. But if ; we're sticking a full multisignature in the document, this ; is just one of the signatures on it. SingleSig = [ s_alg: SigningAlgorithm, ; One of signature and sig_reference must be present. ?signature: bstr, ; sig_reference is an identifier for a signature that appears ; elsewhere, and can be fetched on request. It should only be ; used with signature types too large to attach to SNIPs on their ; own. ?sig_reference: bstr, ; A prefix of the key or the key's digest, depending on the ; algorithm. ?keyid: bstr, ] MultiSig = [ + SingleSig ] ; A Merkle path is represented as a sequence of bits to ; indicate whether we're going left or right, and a list of ; hashes for the parts of the tree that we aren't including. ; ; (It's safe to use a uint for the number of bits, since it will ; never overflow 64 bits -- that would mean a Merkle tree with ; too many leaves to actually calculate on.) MerklePath = [ uint, *bstr ]  <a id='S2.3'></a> ## ENDIVEs: sending a bunch of SNIPs efficiently. ENDIVEs are delivered by the authorities in a compressed format, optimized for diffs. Note that if we are using Merkle trees for SNIP authentication, ENDIVEs do not include the trees at all, since those can be inferred from the leaves of the tree. Similarly, the ENDIVEs do not include raw routing indices, but instead include a set of bandwidths that can be combined into the routing indices -- these bandwidths change less frequently, and therefore are more diff-friendly. Note also that this format has more "wasted bytes" than SNIPs do. Unlike SNIPs, ENDIVEs are large enough to benefit from compression with with gzip, lzma2, or so on. This section does not fully specify how to construct SNIPs from an ENDIVE; for the full algorithm, see section 04. ; ENDIVEs are also sent as CBOR. ENDIVE = [ ; Signature for the ENDIVE, using a simpler format than for ; a SNIP. Since ENDIVEs are more like a consensus, we don't need ; to use threshold signatures or Merkle paths here. sig: ENDIVESignature, ; Contents, as a binary string. body: encoded-cbor .cbor ENDIVEContent, ] ; The set of signatures across an ENDIVE. ; ; This type doubles as the "detached signature" document used when ; collecting signatures for a consensus. ENDIVESignature = { ; The actual signatures on the endive. A multisignature is the ; likeliest format here. endive_sig: [ + SingleSig ], ; Lifespan information. As with SNIPs, this is included as part ; of the input to the hash algorithm for the signature. ; Note that the lifespan of an ENDIVE is likely to be a subset ; of the lifespan of its SNIPs. endive_lifespan: Lifespan, ; Signatures across SNIPs, at some level of the Merkle tree. Note ; that these signatures are not themselves signed -- having them ; signed would take another step in the voting algorithm. snip_sigs: DetachedSNIPSignatures, ; Signatures across the ParamDoc pieces. Note that as with the ; DetachedSNIPSignatures, these signatures are not themselves signed. param_doc: ParamDocSignature, ; extensions for later use. These are not signed. * tstr => any, } ; A list of single signatures or a list of multisignatures. This ; list must have 2^signature-depth elements. DetachedSNIPSignatures = [ *SingleSig ] / [ *MultiSig ] ENDIVEContent = { ; Describes how to interpret the signatures over the SNIPs in this ; ENDIVE. See section 04 for the full algorithm. sig_params: { ; When should we say that the signatures are valid? lifespan: Lifespan, ; Nonce to be used with the signing algorithm for the signatures. ? signature-nonce: bstr, ; At what depth of a Merkle tree do the signatures apply? ; (If this value is 0, then only the root of the tree is signed. ; If this value is >= ceil(log2(n_leaves)), then every leaf is ; signed.). signature-depth: uint, ; What digest algorithm is used for calculating the signatures? signature-digest-alg: DigestAlgorithm, ; reserved for future extensions. * tstr => any, }, ; Documents for clients/relays to learn about current network ; parameters. client-param-doc: encoded-cbor .cbor ClientParamDoc, relay-param-doc: encoded-cbor .cbor RelayParamDoc, ; Definitions for index group. Each "index group" is all ; applied to the same SNIPs. (If there is one index group, ; then every relay is in at most one SNIP, and likely has several ; indices. If there are multiple index groups, then relays ; can appear in more than one SNIP.) indexgroups: [ *IndexGroup ], ; Information on particular relays. ; ; (The total number of SNIPs identified by an ENDIVE is at most ; len(indexgroups) * len(relays).) relays: [ * ENDIVERouterData ], ; for future exensions * tstr => any, } ; An "index group" lists a bunch of routing indices that apply to the same ; SNIPs. There may be multiple index groups when a relay needs to appear ; in different SNIPs with routing indices for some reason. IndexGroup = { ; A list of all the indices that are built for this index group. ; An IndexId may appear in at most one group per ENDIVE. indices: [ + IndexId ], ; A list of keys to delete from SNIPs to build this index group. omit_from_snips: [ *(int/tstr) ], ; A list of keys to forward from SNIPs to the next relay in an EXTEND ; cell. This can help the next relay know which keys to use in its ; handshake. forward_with_extend: [ *(int/tstr) ], ; A number of "gaps" to place in the Merkle tree after the SNIPs ; in this group. This can be used together with signature-depth ; to give different index-groups independent signatures. ? n_padding_entries: uint, ; A detailed description of how to build the index. + IndexId => IndexSpec, ; For experimental and extension use. * tstr => any, } ; Enumeration to identify how to generate an index. Indextype_Raw = 0 Indextype_Weighted = 1 Indextype_RSAId = 2 Indextype_Ed25519Id = 3 Indextype_RawNumeric = 4 ; An indexspec may be given as a raw set of index ranges. This is a ; fallback for cases where we simply can't construct an index any other ; way. IndexSpec_Raw = { type: Indextype_Raw, ; This index is constructed by taking relays by their position in the ; list from the list of ENDIVERouterData, and placing them at a given ; location in the routing index. Each index range extends up to ; right before the next index position. index_ranges: [ * [ uint, IndexPos ] ], } ; An indexspec given as a list of numeric spans on the index. IndexSpec_RawNumeric = { type: Indextype_RawNumeric, first_index_pos: uint, ; This index is constructed by taking relays by index from the list ; of ENDIVERouterData, and giving them a certain amount of "weight" ; in the index. index_ranges: [ * [ idx: uint, span: uint ] ], } ; This index is computed from the weighted bandwidths of all the SNIPs. ; ; Note that when a single bandwidth changes, it can change _all_ of ; the indices in a bandwidth-weighted index, even if no other ; bandwidth changes. That's why we only pack the bandwidths ; here, and scale them as part of the reconstruction algorithm. IndexSpec_Weighted = { type: Indextype_Weighted, ; This index is constructed by assigning a weight to each relay, ; and then normalizing those weights. See algorithm below in section ; 04. ; Limiting bandwidth weights to uint32 makes reconstruction algorithms ; much easier. index_weights: [ * uint32 ], } ; This index is computed from the RSA identity key digests of all of the ; SNIPs. It is used in the HSv2 directory ring. IndexSpec_RSAId = { type: Indextype_RSAId, ; How many bytes of RSA identity data go into each indexpos entry? n_bytes: uint, ; Bitmap of which routers should be included. members: bstr, } ; This index is computed from the Ed25519 identity keys of all of the ; SNIPs. It is used in the HSv3 directory ring. IndexSpec_Ed25519Id = { type: Indextype_Ed25519Id, ; How many bytes of digest go into each indexpos entry? n_bytes: uint, ; What digest do we use for building this ring? d_alg: DigestAlgorithm, ; What bytes do we give to the hash before the ed25519? prefix: bstr, ; What bytes do we give to the hash after the ed25519? suffix: bstr, ; Bitmap of which routers should be included. members: bstr, } IndexSpec = IndexSpec_Raw / IndexSpec_RawNumeric / IndexSpec_Weighted / IndexSpec_RSAId / IndexSpec_Ed25519Id ; Information about a single router in an ENDIVE. ENDIVERouterData = { ; The authority-generated SNIPRouterData for this router. 1 => encoded-cbor .cbor SNIPRouterData, ; The RSA identity, or a prefix of it, to use for HSv2 indices. ? 2 => RSAIdentityFingerprint, * int => any, * tstr => any, } ; encoded-cbor is defined in the CDDL postlude as a bstr that is ; tagged as holding verbatim CBOR: ; ; encoded-cbor = #6.24(bstr) ; ; Using a tag like this helps tools that validate the string as ; valid CBOR; using a bstr helps indicate that the signed data ; should not be interpreted until after the signature is checked. ; It also helps diff tools know that they should look inside these ; objects.  <a id='S2.4'></a> ## Network parameter documents Network parameter documents ("ParamDocs" for short) take the place of the current consensus and certificates as a small document that clients and relays need to download periodically and keep up-to-date. They are generated as part of the voting process, and contain fields like network parameters, recommended versions, authority certificates, and so on. ; A "parameter document" is like a tiny consensus that relays and clients ; can use to get network parameters. ParamDoc = [ sig: ParamDocSignature, ; Client-relevant portion of the parameter document. Everybody fetches ; this. cbody: encoded-cbor .cbor ClientParamDoc, ; Relay-relevant portion of the parameter document. Only relays need to ; fetch this; the document can be validated without it. ? sbody: encoded-cbor .cbor RelayParamDoc, ] ParamDocSignature = [ ; Multisignature or threshold signature of the concatenation ; of the two digests below. SingleSig / MultiSig, ; Lifespan information. As with SNIPs, this is included as part ; of the input to the hash algorithm for the signature. ; Note that the lifespan of a parameter document is likely to be ; very long. LifespanInfo, ; how are c_digest and s_digest computed? d_alg: DigestAlgorithm, ; Digest over the cbody field c_digest: bstr, ; Digest over the sbody field s_digest: bstr, ] ClientParamDoc = { params: NetParams, ; List of certificates for all the voters. These ; authenticate the keys used to sign SNIPs and ENDIVEs and votes, ; using the authorities' longest-term identity keys. voters: [ + bstr .cbor VoterCert ], ; A division of exit ports into "classes" of ports. port-classes: PortClasses, ; As in client-versions from dir-spec.txt ? recommend-versions: [ * tstr ], ; As in recommended-client-protocols in dir-spec.txt ? recommend-protos: ProtoVersions, ; As in required-client-protocols in dir-spec.txt ? require-protos: ProtoVersions, ; For future extensions. * tstr => any, } RelayParamDoc = { params: NetParams, ; As in server-versions from dir-spec.txt ? recommend-versions: [ * tstr ], ; As in recommended-relay-protocols in dir-spec.txt ? recommend-protos: ProtoVersions, ; As in required-relay-protocols in dir-spec.txt ? require-versions: ProtoVersions, * tstr => any, } ; A NetParams encodes information about the Tor network that ; clients and relays need in order to participate in it. The ; current list of parameters is described in the "params" field ; as specified in dir-spec.txt. ; ; Note that there are separate client and relay NetParams now. ; Relays are expected to first check for a defintion in the ; RelayParamDoc, and then in the ClientParamDoc. NetParams = { *tstr => int } PortClasses = { ; identifies which port class grouping this is. Used to migrate ; from one group of port classes to another. tag: uint, ; list of the port classes. classes: { * IndexId => PortList }, } PortList = [ *PortOrRange ] ; Either a single port or a low-high pair PortOrRange = Port / [ Port, Port ] Port = 1...65535  <a id='S2.5'></a> ## Certificates Voting certificates are used to bind authorities' long-term identities to shorter-term signing keys. These have a similar purpose to the authority certs made for the existing voting algorithm, but support more key types. ; A 'voter certificate' is a statement by an authority binding keys to ; each other. VoterCert = [ ; One or more signatures over `content` using the provided lifetime. ; Each signature should be treated independently. [ + SingleSig ], ; A lifetime value, used (as usual ) as an input to the ; signature algorithm. LifespanInfo, ; The keys and other data to be certified. content: encoded-cbor .cbor CertContent, ] ; The contents of the certificate that get signed. CertContent = { ; What kind of a certificate is this? type: CertType, ; A list of keys that are being certified in this document keys: [ + CertifiedKey ], ; A list of other keys that you might need to know about, which ; are NOT certififed in this document. ? extra: [ + CertifiedKey ], * tstr => any, } CertifiedKey = { ; What is the intended usage of this key? usage: KeyUsage, ; What cryptographic algorithm is this key used for? alg: PKAlgorithm, ; The actual key being certified. data: bstr, ; A human readable string. ? remarks: tstr, * tstr => any, }  <a id='S2.6'></a> ## ENDIVE diffs Here is a binary format to be used with ENDIVEs, ParamDocs, and any other similar binary formats. Authorities and directory caches need to be able to generate it; clients and non-cache relays only need to be able to parse and apply it. ; Binary diff specification. BinaryDiff = { ; This is version 1. v: 1, ; Optionally, a diff can say what different digests ; of the document should be before and after it is applied. ; If there is more than one entry, parties MAY check one or ; all of them. ? digest: { * DigestAlgorithm => [ pre: Digest, post: Digest ]}, ; Optionally, a diff can give some information to identify ; which document it applies to, and what document you get ; from applying it. These might be a tuple of a document type ; and a publication type. ? ident: [ pre: any, post: any ], ; list of commands to apply in order to the original document in ; order to get the transformed document cmds: [ *DiffCommand ], ; for future extension. * tstr => any, } ; There are currently only two diff commands. ; One is to copy some bytes from the original. CopyDiffCommand = [ OrigBytesCmdId, ; Range of bytes to copy from the original document. ; Ranges include their starting byte. The "offset" is relative to ; the end of the _last_ range that was copied. offset: int, length: uint, ] ; The other diff comment is to insert some bytes from the diff. InsertDiffCommand = [ InsertBytesCmdId, data: bstr, ] DiffCommand = CopyDiffCommand / InsertDiffCommand OrigBytesCmdId = 0 InsertBytesCmdId = 1 Applying a binary diff is simple: Algorithm: applying a binary diff. (Given an input bytestring INP and a diff D, produces an output OUT.) Initialize OUT to an empty bytestring. Set OFFSET to 0. For each command C in D.commands, in order: If C begins with OrigBytesCmdId: Increase "OFFSET" by C.offset If OFFSET..OFFSET+C.length is not a valid range in INP, abort. Append INP[OFFSET .. OFFSET+C.length] to OUT. Increase "OFFSET" by C.length else: # C begins with InsertBytesCmdId: Append C.data to OUT. Generating a binary diff can be trickier, and is not specified here. There are several generic algorithms out there for making binary diffs between arbitrary byte sequences. Since these are complex, I recommend a chunk-based CBOR-aware algorithm, using each CBOR item in a similar way to the way in which our current line-oriented code uses lines. When encountering a bstr tagged with "encoded-cbor", the diff algorithm should look inside it to find more cbor chunks. (See example-code/cbor_diff.py for an example of doing this with Python's difflib.) The diff format above should work equally well no matter what diff algorithm is used, so we have room to move to other algorithms in the future if needed. To indicate support for the above diff format in directory requests, implementations should use an `X-Support-Diff-Formats` header. The above format is designated "cbor-bindiff"; our existing format is called "ed".  <a id='S2.7'></a> ## Digests and parameters Here we give definitions for `H_leaf()` and `H_node()`, based on an underlying digest function H() with a preferred input block size of B. (B should be chosen as the natural input size of the hash function, to aid in precomputation.) We also define `H_sign()`, to be used outside of SNIP authentication where we aren't using a Merkle tree at all. PATH must be no more than 64 bits long. NONCE must be no more than B-33 bytes long. H_sign(LIFESPAN, NONCE, ITEM) = H( PREFIX(OTHER_C, LIFESPAN, NONCE) || ITEM) H_leaf(PATH, LIFESPAN, NONCE, ITEM) = H( PREFIX(LEAF_C, LIFESPAN, NONCE) || U64(PATH) || U64(bits(path)) || ITEM ) H_node(PATH, LIFESPAN, NONCE, ITEM) = H( PREFIX(NODE_C, LIFESPAN, NONCE) || U64(PATH) || U64(bits(PATH)) || ITEM ) PREFIX(leafcode, lifespan, nonce) = U64(leafcode) || U64(lifespan.published) || U32(lifespan.pre-valid) || U32(lifespan.post-valid) || U8(len(nonce)) || nonce || Z(B - 33 - len(nonce)) LEAF_C = 0x8BFF0F687F4DC6A1 ^ NETCONST NODE_C = 0xA6F7933D3E6B60DB ^ NETCONST OTHER_C = 0x7365706172617465 ^ NETCONST # For the live Tor network only. NETCONST = 0x0746f72202020202 # For testing networks, by default. NETCONST = 0x74657374696e6720 U64(n) -- N encoded as a big-endian 64-bit number. Z(n) -- N bytes with value zero. len(b) -- the number of bytes in a byte-string b. bits(b) -- the number of bits in a bit-string b.  <a id='S3'></a> # Directory authority operations For Walking Onions to work, authorities must begin to generate ENDIVEs as a new kind of "consensus document". Since this format is incompatible with the previous consensus document formats, and is CBOR-based, a text-based voting protocol is no longer appropriate for generating it. We cannot immediately abandon the text-based consensus and microdescriptor formats, but instead will need to keep generating them for legacy relays and clients. Ideally, process that produces the ENDIVE should also produce a legacy consensus, to limit the amount of divergence in their contents. Further, it would be good for the purposes of this proposal if we can "inherit" as much as possible of our existing voting mechanism for legacy purposes. This section of the proposal will try to solve these goals by defining a new binary-based voting format, a new set of voting rules for it, and a series of migration steps.  <a id='S3.1'></a> ## Overview Except as described below, we retain from Tor's existing voting mechanism all notions of how votes are transferred and processed. Other changes are likely desirable, but they are out of scope for this proposal. Notably, we are not changing how the voting schedule works. Nor are we changing the property that all authorities must agree on the list of authorities; the property that a consensus is computed as a deterministic function of a set of votes; or the property that if authorities believe in different sets of votes, they will not reach the same consensus. The principal changes in the voting that are relevant for legacy consensus computation are: * The uploading process for votes now supports negotiation, so that the receiving authority can tell the uploading authority what kind of formats, diffs, and compression it supports. * We specify a CBOR-based binary format for votes, with a simple embedding method for the legacy text format. This embedding is meant for transitional use only; once all authorities support the binary format, the transitional format and its support structures can be abandoned. * To reduce complexity, the new vote format also includes _verbatim_ microdescriptors, whereas previously microdescriptors would have been referenced by hash. (The use of diffs and compression should make the bandwidth impact of this addition negligible.) For computing ENDIVEs, the principal changes in voting are: * The consensus outputs for most voteable objects are specified in a way that does not require the authorities to understand their semantics when computing a consensus. This should make it easier to change fields without requiring new consensus methods.  <a id='S3.2'></a> ## Negotiating vote uploads Authorities supporting Walking Onions are required to support a new resource "/tor/auth-vote-opts". This resource is a text document containing a list of HTTP-style headers. Recognized headers are described below; unrecognized headers MUST be ignored. The *Accept-Encoding* header follows the same format as the HTTP header of the same name; it indicates a list of Content-Encodings that the authority will accept for uploads. All authorities SHOULD support the gzip and identity encodings. The identity encoding is mandatory. (Default: "identity") The *Accept-Vote-Diffs-From* header is a list of digests of previous votes held by this authority; any new uploaded votes that are given as diffs from one of these old votes SHOULD be accepted. The format is a space-separated list of "digestname:Hexdigest". (Default: "".) The *Accept-Vote-Formats* header is a space-separated list of the vote formats that this router accepts. The recognized vote formats are "legacy-3" (Tor's current vote format) and "endive-1" (the vote format described here). Unrecognized vote formats MUST be ignored. (Default: "legacy-3".) If requesting "/tor/auth-vote-opts" gives an error, or if one or more headers are missing, the default values SHOULD be used. These documents (or their absence) MAY be cached for up to 2 voting periods.) Authorities supporting Walking Onions SHOULD also support the "Connection: keep-alive" and "Keep-Alive" HTTP headers, to avoid needless reconnections in response to these requests. Implementors SHOULD be aware of potential denial-of-service attacks based on open HTTP connections, and mitigate them as appropriate. > Note: I thought about using OPTIONS here, but OPTIONS isn't quite > right for this, since Accept-Vote-Diffs-From does not fit with its > semantics. > Note: It might be desirable to support this negotiation for legacy > votes as well, even before walking onions is implemented. Doing so > would allow us to reduce authority bandwidth a little, and possibly > include microdescriptors in votes for more convenient processing.  <a id='S3.3'></a> ## A generalized algorithm for voting Unlike with previous versions of our voting specification, here I'm going to try to describe pieces the voting algorithm in terms of simpler voting operations. Each voting operation will be named and possibly parameterized, and data will frequently self-describe what voting operation is to be used on it. Voting operations may operate over different CBOR types, and are themselves specified as CBOR objects. A voting operation takes place over a given "voteable field". Each authority that specifies a value for a voteable field MUST specify which voting operation to use for that field. Specifying a voteable field without a voting operation MUST be taken as specifying the voting operation "None" -- that is, voting against a consensus. On the other hand, an authority MAY specify a voting operation for a field without casting any vote for it. This means that the authority has an opinion on how to reach a consensus about the field, without having any preferred value for the field itself.  <a id='S3.3.1'></a> ### Constants used with voting operations Many voting operations may be parameterized by an unsigned integer. In some cases the integers are constant, but in others, they depend on the number of authorities, the number of votes cast, or the number of votes cast for a particular field. When we encode these values, we encode them as short strings rather than as integers. > I had thought of using negative integers here to encode these > special constants, but that seems too error-prone. The following constants are defined: `N_AUTH` -- the total number of authorities, including those whose votes are absent. `N_PRESENT` -- the total number of authorities whose votes are present for this vote. `N_FIELD` -- the total number of authorities whose votes for a given field are present. Necessarily, `N_FIELD` <= `N_PRESENT` <= `N_AUTH` -- you can't vote on a field unless you've cast a vote, and you can't cast a vote unless you're an authority. In the definitions below, `//` denotes the truncating integer division operation, as implemented with `/` in C. `QUORUM_AUTH` -- The lowest integer that is greater than half of `N_AUTH`. Equivalent to `N_AUTH // 2 + 1`. `QUORUM_PRESENT` -- The lowest integer that is greater than half of `N_PRESENT`. Equivalent to `N_PRESENT // 2 + 1`. `QUORUM_FIELD` -- The lowest integer that is greater than half of `N_FIELD`. Equivalent to `N_FIELD // 2 + 1`. We define `SUPERQUORUM_`..., variants of these fields as well, based on the lowest integer that is greater than 2/3 majority of the underlying field. `SUPERQUORUM_x` is thus equivalent to `(N_x * 2) // 3 + 1`. ; We need to encode these arguments; we do so as short strings. IntOpArgument = uint / "auth" / "present" / "field" / "qauth" / "qpresent" / "qfield" / "sqauth" / "sqpresent" / "sqfield" No IntOpArgument may be greater than AUTH. If an IntOpArgument is given as an integer, and that integer is greater than AUTH, then it is treated as if it were AUTH. > This rule lets us say things like "at least 3 authorities must > vote on x...if there are 3 authorities."  <a id='S3.3.2'></a> ### Producing consensus on a field Each voting operation will either produce a CBOR output, or produce no consensus. Unless otherwise stated, all CBOR outputs are to be given in canonical form. Below we specify a number of operations, and the parameters that they take. We begin with operations that apply to "simple" values (integers and binary strings), then show how to compose them to larger values. All of the descriptions below show how to apply a _single_ voting operation to a set of votes. We will later describe how to behave when the authorities do not agree on which voting operation to use, in our discussion of the StructJoinOp operation. Note that while some voting operations take other operations as parameters, we are _not_ supporting full recursion here: there is a strict hierarchy of operations, and more complex operations can only have simpler operations in their parameters. All voting operations follow this metaformat: ; All a generic voting operation has to do is say what kind it is. GenericVotingOp = { op: tstr, * tstr => any, } Note that some voting operations require a sort or comparison operation over CBOR values. This operation is defined later in appendix E; it works only on homogeneous inputs.  <a id='S3.3.3'></a> ### Generic voting operations  <a id='S3.3.3.1'></a> #### None This voting operation takes no parameters, and always produces "no consensus". It is encoded as: ; "Don't produce a consensus". NoneOp = { op: "None" } When encountering an unrecognized or nonconforming voting operation, _or one which is not recognized by the consensus-method in use_, the authorities proceed as if the operation had been "None".  <a id='S3.3.4'></a> ### Voting operations for simple values We define a "simple value" according to these cddl rules: ; Simple values are primitive types, and tuples of primitive types. SimpleVal = BasicVal / SimpleTupleVal BasicVal = bool / int / bstr / tstr SimpleTupleVal = [ *BasicVal ] We also need the ability to encode the types for these values: ; Encoding a simple type. SimpleType = BasicType / SimpleTupleType BasicType = "bool" / "uint" / "sint" / "bstr" / "tstr" SimpleTupleType = [ "tuple", *BasicType ] In other words, a SimpleVal is either an non-compound base value, or is a tuple of such values. ; We encode these operations as: SimpleOp = MedianOp / ModeOp / ThresholdOp / BitThresholdOp / CborSimpleOp / NoneOp We define each of these operations in the sections below.  <a id='S3.3.4.1'></a> #### Median _Parameters_: `MIN_VOTES` (an integer), `BREAK_EVEN_LOW` (a boolean), `TYPE` (a SimpleType) ; Encoding: MedianOp = { op: "Median", ? min_vote: IntOpArgument, ; Default is 1. ? even_low: bool, ; Default is true. type: SimpleType } Discard all votes that are not of the specified `TYPE`. If there are fewer than `MIN_VOTES` votes remaining, return "no consensus". Put the votes in ascending sorted order. If the number of votes N is odd, take the center vote (the one at position (N+1)/2). If N is even, take the lower of the two center votes (the one at position N/2) if `BREAK_EVEN_LOW` is true. Otherwise, take the higher of the two center votes (the one at position N/2 + 1). For example, the Median(…, even_low: True, type: "uint") of the votes ["String", 2, 111, 6] is 6. The Median(…, even_low: True, type: "uint") of the votes ["String", 77, 9, 22, "String", 3] is 9.  <a id='S3.3.4.2'></a> #### Mode _Parameters_: `MIN_COUNT` (an integer), `BREAK_TIES_LOW` (a boolean), `TYPE` (a SimpleType) ; Encoding: ModeOp = { op: "Mode", ? min_count: IntOpArgument, ; Default 1. ? tie_low: bool, ; Default true. type: SimpleType } Discard all votes that are not of the specified `TYPE`. Of the remaining votes, look for the value that has received the most votes. If no value has received at least `MIN_COUNT` votes, then return "no consensus". If there is a single value that has received the most votes, return it. Break ties in favor of lower values if `BREAK_TIES_LOW` is true, and in favor of higher values if `BREAK_TIES_LOW` is false. (Perform comparisons in canonical cbor order.)  <a id='S3.3.4.3'></a> #### Threshold _Parameters_: `MIN_COUNT` (an integer), `BREAK_MULTI_LOW` (a boolean), `TYPE` (a SimpleType) ; Encoding ThresholdOp = { op: "Threshold", min_count: IntOpArgument, ; No default. ? multi_low: bool, ; Default true. type: SimpleType } Discard all votes that are not of the specified `TYPE`. Sort in canonical cbor order. If `BREAK_MULTI_LOW` is false, reverse the order of the list. Return the first element that received at least `MIN_COUNT` votes. If no value has received at least `MIN_COUNT` votes, then return "no consensus".  <a id='S3.3.4.4'></a> #### BitThreshold Parameters: `MIN_COUNT` (an integer >= 1) ; Encoding BitThresholdOp = { op: "BitThreshold", min_count: IntOpArgument, ; No default. } These are usually not needed, but are quite useful for building some ProtoVer operations. Discard all votes that are not of type uint or bstr; construe bstr inputs as having type "biguint". The output is a uint or biguint in which the b'th bit is set iff the b'th bit is set in at least `MIN_COUNT` of the votes.  <a id='S3.3.5'></a> ### Voting operations for lists These operations work on lists of SimpleVal: ; List type definitions ListVal = [ * SimpleVal ] ListType = [ "list", [ *SimpleType ] / nil ] They are encoded as: ; Only one list operation exists right now. ListOp = SetJoinOp  <a id='S3.3.5.1'></a> #### SetJoin Parameters: `MIN_COUNT` (an integer >= 1). Optional parameters: `TYPE` (a SimpleType.) ; Encoding: SetJoinOp = { op: "SetJoin", min_count: IntOpArgument, ? type: SimpleType } Discard all votes that are not lists. From each vote, discard all members that are not of type 'TYPE'. For the consensus, construct a new list containing exactly those elements that appears in at least `MIN_COUNT` votes. (Note that the input votes may contain duplicate elements. These must be treated as if there were no duplicates: the vote [1, 1, 1, 1] is the same as the vote [1]. Implementations may want to preprocess votes by discarding all but one instance of each member.)  <a id='S3.3.6'></a> ### Voting operations for maps Map voting operations work over maps from key types to other non-map types. ; Map type definitions. MapVal = { * SimpleVal => ItemVal } ItemVal = ListVal / SimpleVal MapType = [ "map", [ *SimpleType ] / nil, [ *ItemType ] / nil ] ItemType = ListType / SimpleType They are encoded as: ; MapOp encodings MapOp = MapJoinOp / StructJoinOp  <a id='S3.3.6.1'></a> #### MapJoin The MapJoin operation combines homogeneous maps (that is, maps from a single key type to a single value type.) Parameters: `KEY_MIN_COUNT` (an integer >= 1) `KEY_TYPE` (a SimpleType type) `ITEM_OP` (A non-MapJoin voting operation) Encoding: ; MapJoin operation encoding MapJoinOp = { op: "MapJoin" ? key_min_count: IntOpArgument, ; Default 1. key_type: SimpleType, item_op: ListOp / SimpleOp } First, discard all votes that are not maps. Then consider the set of keys from each vote as if they were a list, and apply `SetJoin[KEY_MIN_COUNT,KEY_TYPE]` to those lists. The resulting list is a set of keys to consider including in the output map. > We have a separate `key_min_count` field, even if `item_op` has > its own `min_count` field, because some min_count values (like > `qfield`) depend on the overall number of votes for the field. > Having `key_min_count` lets us specify rules like "the FOO of all > votes on this field, if there are at least 2 such votes." For each key in the output list, run the sub-voting operation `ItemOperation` on the values it received in the votes. Discard all keys for which the outcome was "no consensus". The final vote result is a map from the remaining keys to the values produced by the voting operation.  <a id='S3.3.6.2'></a> #### StructJoin A StructJoinOp operation describes a way to vote on maps that encode a structure-like object. Parameters: `KEY_RULES` (a map from int or string to StructItemOp) `UNKNOWN_RULE` (An operation to apply to unrecognized keys.) ; Encoding StructItemOp = ListOp / SimpleOp / MapJoinOp / DerivedItemOp / CborDerivedItemOp VoteableStructKey = int / tstr StructJoinOp = { op: "StructJoin", key_rules: { * VoteableStructKey => StructItemOp, } ? unknown_rule: StructItemOp } To apply a StructJoinOp to a set of votes, first discard every vote that is not a map. Then consider the set of keys from all the votes as a single list, with duplicates removed. Also remove all entries that are not integers or strings from the list of keys. For each key, then look for that key in the `KEY_RULES` map. If there is an entry, then apply the StructItemOp for that entry to the values for that key in every vote. Otherwise, apply the `UNKNOWN_RULE` operation to the values for that key in every vote. Otherwise, there is no consensus for the values of this key. If there _is_ a consensus for the values, then the key should map to that consensus in the result. This operation always reaches a consensus, even if it is an empty map.  <a id='S3.3.6.3'></a> #### CborData A CborData operation wraps another operation, and tells the authorities that after the operation is completed, its result should be decoded as a CBOR bytestring and interpolated directly into the document. Parameters: `ITEM_OP` (Any SingleOp that can take a bstr input.) ; Encoding CborSimpleOp = { op: "CborSimple", item-op: MedianOp / ModeOp / ThresholdOp / NoneOp } CborDerivedItemOp = { op: "CborDerived", item-op: DerivedItemOp, } To apply either of these operations to a set of votes, first apply `ITEM_OP` to those votes. After that's done, check whether the consensus from that operation is a bstr that encodes a single item of "well-formed" "valid" cbor. If it is not, this operation gives no consensus. Otherwise, the consensus value for this operation is the decoding of that bstr value.  <a id='S3.3.6.4'></a> #### DerivedFromField This operation can only occur within a StructJoinOp operation (or a semantically similar SectionRules). It indicates that one field should have been derived from another. It can be used, for example, to say that a relay's version is "derived from" a relay's descriptor digest. Unlike other operations, this one depends on the entire consensus (as computed so far), and on the entirety of the set of votes. > This operation might be a mistake, but we need it to continue lots of > our current behavior. Parameters: `FIELDS` (one or more other locations in the vote) `RULE` (the rule used to combine values) Encoding ; This item is "derived from" some other field. DerivedItemOp = { op: "DerivedFrom", fields: [ +SourceField ], rule: SimpleOp } ; A field in the vote. SourceField = [ FieldSource, VoteableStructKey ] ; A location in the vote. Each location here can only ; be referenced from later locations, or from itself. FieldSource = "M" ; Meta. / "CP" ; ClientParam. / "SP" ; ServerParam. / "RM" ; Relay-meta / "RS" ; Relay-SNIP / "RL" ; Relay-legacy To compute a consensus with this operation, first locate each field described in the SourceField entry in each VoteDocument (if present), and in the consensus computed so far. If there is no such field in the consensus or if it has not been computed yet, then this operation produces "no consensus". Otherwise, discard the VoteDocuments that do not have the same value for the field as the consensus, and their corresponding votes for this field. Do this for every listed field. At this point, we have a set of votes for this field's value that all come from VoteDocuments that describe the same value for the source field(s). Apply the `RULE` operation to those votes in order to give the result for this voting operation. The DerivedFromField members in a SectionRules or a StructJoinOp should be computed _after_ the other members, so that they can refer to those members themselves.  <a id='S3.3.7'></a> ### Voting on document sections Voting on a section of the document is similar to the StructJoin operation, with some exceptions. When we vote on a section of the document, we do *not* apply a single voting rule immediately. Instead, we first "_merge_" a set of SectionRules together, and then apply the merged rule to the votes. This is the only place where we merge rules like this. A SectionRules is _not_ a voting operation, so its format is not tagged with an "op": ; Format for section rules. SectionRules = { * VoteableStructKey => SectionItemOp, ? nil => SectionItemOp } SectionItemOp = StructJoinOp / StructItemOp To merge a set of SectionRules together, proceed as follows. For each key, consider whether at least QUORUM_AUTH authorities have voted the same StructItemOp for that key. If so, that StructItemOp is the resulting operation for this key. Otherwise, there is no entry for this key. Do the same for the "nil" StructItemOp; use the result as the `UNKNOWN_RULE`. Note that this merging operation is *not* recursive.  <a id='S3.4'></a> ## A CBOR-based metaformat for votes. A vote is a signed document containing a number of sections; each section corresponds roughly to a section of another document, a description of how the vote is to be conducted, or both. ; VoteDocument is a top-level signed vote. VoteDocument = [ ; Each signature may be produced by a different key, if they ; are all held by the same authority. sig: [ + SingleSig ], lifetime: Lifespan, digest-alg: DigestAlgorithm, body: bstr .cbor VoteContent ] VoteContent = { ; List of supported consensus methods. consensus-methods: [ + uint ], ; Text-based legacy vote to be used if the negotiated ; consensus method is too old. It should itself be signed. ; It's encoded as a series of text chunks, to help with ; cbor-based binary diffs. ? legacy-vote: [ * tstr ], ; How should the votes within the individual sections be ; computed? voting-rules: VotingRules, ; Information that the authority wants to share about this ; vote, which is not itself voted upon. notes: NoteSection, ; Meta-information that the authorities vote on, which does ; not actually appear in the ENDIVE or consensus directory. meta: MetaSection .within VoteableSection, ; Fields that appear in the client network parameter document. client-params: ParamSection .within VoteableSection, ; Fields that appear in the server network parameter document. server-params: ParamSection .within VoteableSection, ; Information about each relay. relays: RelaySection, ; Information about indices. indices: IndexSection, * tstr => any } ; Self-description of a voter. VoterSection = { ; human-memorable name name: tstr, ; List of link specifiers to use when uploading to this ; authority. (See proposal for dirport link specifier) ? ul: [ *LinkSpecifier ], ; List of link specifiers to use when downloading from this authority. ? dl: [ *LinkSpecifier ], ; contact information for this authority. ? contact: tstr, ; legacy certificate in format given by dir-spec.txt. ? legacy-cert: tstr, ; for extensions * tstr => any, } ; An indexsection says how we think routing indices should be built. IndexSection = { * IndexId => bstr .cbor [ IndexGroupId, GenericIndexRule ], } IndexGroupId = uint ; A mechanism for building a single routing index. Actual values need to ; be within RecognizedIndexRule or the authority can't complete the ; consensus. GenericIndexRule = { type: tstr, * tstr => any } RecognizedIndexRule = EdIndex / RSAIndex / BWIndex / WeightedIndex ; The values in an RSAIndex are derived from digests of Ed25519 keys. EdIndex = { type: "ed-id", alg: DigestAlgorithm, prefix: bstr, suffix: bstr } ; The values in an RSAIndex are derived from RSA keys. RSAIndex = { type: "rsa-id" } ; A BWIndex is built by taking some uint-valued field referred to by ; SourceField from all the relays that have all of required_flags set. BWIndex = { type: "bw", bwfield: SourceField, require_flags: FlagSet, } ; A flag can be prefixed with "!" to indicate negation. A flag ; with a name like P@X indicates support for port class 'X' in its ; exit policy. ; ; FUTURE WORK: perhaps we should add more structure here and it ; should be a matching pattern? FlagSet = [ *tstr ] ; A WeightedIndex applies a set of weights to a BWIndex based on which ; flags the various routers have. Relays that match a set of flags have ; their weights multiplied by the corresponding WeightVal. WeightedIndex = { type: "weighted", source: BwIndex, weight: { * FlagSet => WeightVal } } ; A WeightVal is either an integer to multiply bandwidths by, or a ; string from the Wgg, Weg, Wbm, ... set as documented in dir-spec.txt, ; or a reference to an earlier field. WeightVal = uint / tstr / SourceField VoteableValue = MapVal / ListVal / SimpleVal ; A "VoteableSection" is something that we apply part of the ; voting rules to. When we apply voting rules to these sections, ; we do so without regards to their semantics. When we are done, ; we use these consensus values to make the final consensus. VoteableSection = { VoteableStructKey => VoteableValue, } ; A NoteSection is used to convey information about the voter and ; its vote that is not actually voted on. NoteSection = { ; Information about the voter itself voter: VoterSection, ; Information that the voter used when assigning flags. ? flag-thresholds: { tstr => any }, ; Headers from the bandwidth file to be reported as part of ; the vote. ? bw-file-headers: {tstr => any }, ? shared-rand-commit: SRCommit, * VoteableStructKey => VoteableValue, } ; Shared random commitment; fields are as for the current ; shared-random-commit fields. SRCommit = { ver: uint, alg: DigestAlgorithm, ident: bstr, commit: bstr, ? reveal: bstr } ; the meta-section is voted on, but does not appear in the ENDIVE. MetaSection = { ; Seconds to allocate for voting and distributing signatures ; Analagous to the "voting-delay" field in the legacy algorithm. voting-delay: [ vote_seconds: uint, dist_seconds: uint ], ; Proposed time till next vote. voting-interval: uint, ; proposed lifetime for the SNIPs and ENDIVEs snip-lifetime: Lifespan, ; proposed lifetime for client params document c-param-lifetime: Lifespan, ; proposed lifetime for server params document s-param-lifetime: Lifespan, ; signature depth for ENDIVE signature-depth: uint, ; digest algorithm to use with ENDIVE. signature-digest-alg: DigestAlgorithm, ; Current and previous shared-random values ? cur-shared-rand: [ reveals: uint, rand: bstr ], ? prev-shared-rand: [ reveals: uint, rand: bstr ], ; extensions. * VoteableStructKey => VoteableValue, }; ; A ParamSection will be made into a ParamDoc after voting; ; the fields are analogous. ParamSection = { ? certs: [ 1*2 bstr .cbor VoterCert ], ? recommend-versions: [ * tstr ], ? require-protos: ProtoVersions, ? recommend-protos: ProtoVersions, ? params: NetParams, * VoteableStructKey => VoteableValue, } RelaySection = { ; Mapping from relay identity key (or digest) to relay information. * bstr => RelayInfo, } ; A RelayInfo is a vote about a single relay. RelayInfo = { meta: RelayMetaInfo .within VoteableSection, snip: RelaySNIPInfo .within VoteableSection, legacy: RelayLegacyInfo .within VoteableSection, } ; Information about a relay that doesn't go into a SNIP. RelayMetaInfo = { ; Tuple of published-time and descriptor digest. ? desc: [ uint , bstr ], ; What flags are assigned to this relay? We use a ; string->value encoding here so that only the authorities ; who have an opinion on the status of a flag for a relay need ; to vote yes or no on it. ? flags: { *tstr=>bool }, ; The relay's self-declared bandwidth. ? bw: uint, ; The relay's measured bandwidth. ? mbw: uint, ; The fingerprint of the relay's RSA identity key. ? rsa-id: RSAIdentityFingerprint } ; SNIP information can just be voted on directly; the formats ; are the same. RelaySNIPInfo = SNIPRouterData ; Legacy information is used to build legacy consensuses, but ; not actually required by walking onions clients. RelayLegacyInfo = { ; Mapping from consensus version to microdescriptor digests ; and microdescriptors. ? mds: [ *Microdesc ], } ; Microdescriptor votes now include the digest AND the ; microdescriptor-- see note. Microdesc = [ low: uint, high: uint, digest: bstr .size 32, ; This is encoded in this way so that cbor-based diff tools ; can see inside it. Because of compression and diffs, ; including microdesc text verbatim should be comparatively cheap. content: encoded-cbor .cbor [ *tstr ], ] ; ========== ; The VotingRules field explains how to vote on the members of ; each section VotingRules = { meta: SectionRules, params: SectionRules, relay: RelayRules, indices: SectionRules, } ; The RelayRules object explains the rules that apply to each ; part of a RelayInfo. A key will appear in the consensus if it ; has been listed by at least key_min_count authorities. RelayRules = { key_min_count: IntOpArgument, meta: SectionRules, snip: SectionRules, legacy: SectionRules, }  <a id='S3.5'></a> ## Computing a consensus. To compute a consensus, the authorities first verify that all the votes are timely and correctly signed by real authorities. This includes validating all invariants stated here, and all internal documents. If they have two votes from an authority, authorities SHOULD issue a warning, and they should take the one that is published more recently. > TODO: Teor suggests that maybe we shouldn't warn about two votes > from an authority for the same period, and we could instead have a > more resilient process here, where authorities can update their > votes at various times over the voting period, up to some point. > > I'm not sure whether this helps reliability more or less than it risks it, > but it worth investigating. Next, the authorities determine the consensus method as they do today, using the field "consensus-method". This can also be expressed as the voting operation `Threshold[SUPERQUORUM_PRESENT, false, uint]`. If there is no consensus for the consensus-method, then voting stops without having produced a consensus. Note that in contrast with its behavior in the current voting algorithm, the consensus method does not determine the way to vote on every individual field: that aspect of voting is controlled by the voting-rules. Instead, the consensus-method changes other aspects of this voting, such as: * Adding, removing, or changing the semantics of voting operations. * Changing the set of documents to which voting operations apply. * Otherwise changing the rules that are set out in this document. Once a consensus-method is decided, the next step is to compute the consensus for other sections in this order: `meta`, `client-params`, `server-params`, and `indices`. The consensus for each is calculated according to the operations given in the corresponding section of VotingRules. Next the authorities compute a consensus on the `relays` section, which is done slightly differently, according to the rules of RelayRules element of VotingRules. Finally, the authorities transform the resulting sections into an ENDIVE and a legacy consensus, as in "Computing an ENDIVE" and "Computing a legacy consensus" below. To vote on a single VotingSection, find the corresponding SectionRules objects in the VotingRules of this votes, and apply it as described above in "Voting on document sections".  <a id='S3.6'></a> ## If an older consensus method is negotiated (Transitional) The `legacy-vote` field in the vote document contains an older (v3, text-style) consensus vote, and is used when an older consensus method is negotiated. The legacy-vote is encoded by splitting it into pieces, to help with CBOR diff calculation. Authorities MAY split at line boundaries, space boundaries, or anywhere that will help with diffs. To reconstruct the legacy vote, concatenate the members of `legacy-vote` in order. The resulting string MUST validate according to the rules of the legacy voting algorithm. If a legacy vote is present, then authorities SHOULD include the same view of the network in the legacy vote as they included in their real vote. If a legacy vote is present, then authorities MUST give the same list of consensus-methods and the same voting schedule in both votes. Authorities MUST reject noncompliant votes.  <a id='S3.7'></a> ## Computing an ENDIVE. If a consensus-method is negotiated that is high enough to support ENDIVEs, then the authorities proceed as follows to transform the consensus sectoins above into an ENDIVE. The ParamSections from the consensus are used verbatim as the bodies of the `client-params` and `relay-params` fields. The fields that appear in each RelaySNIPInfo determine what goes into the SNIPRouterData for each relay. To build the relay section, first decide which relays appear according to the `key_min_count` field in the RelayRules. Then collate relays across all the votes by their keys, and see which ones are listed. For each key that appears in at least `key_min_count` votes, apply the RelayRules to each section of the RelayInfos for that key. The sig_params section is derived from fields in the meta section. Fields with identical names are simply copied; Lifespan values are copied to the corresponding documents (snip-lifetime as the lifespan for SNIPs and ENDIVEs, and c and s-param-lifetime as the lifespan for ParamDocs). To compute the signature nonce, use the signature digest algorithm to compute the digest of each input vote body, sort those digests lexicographically, and concatenate and hash those digests again. Routing indices are built according to named IndexRules, and grouped according to fields in the meta section. See "Constructing Indices" below. > (At this point extra fields may be copied from the Meta section of > each RelayInfo into the ENDIVERouterData depending on the meta > document; we do not, however, currently specify any case where this > is done.)  <a id='S3.7.1'></a> ### Constructing indices After having built the list of relays, the authorities construct and encode the indices that appear in the ENDIVEs. The voted-upon GenericIndexRule values in the IndexSection of the consensus say how to build the indices in the ENDIVE, as follows. An `EdIndex` is built using the IndexType_Ed25519Id value, with the provided prefix and suffix values. Authorities don't need to expand this index in the ENDIVE, since the relays can compute it deterministically. An `RSAIndex` is built using the IndexType_RSAId type. Authorities don't need to expand this index in the ENDIVE, since the relays can compute it deterministically. A `BwIndex` is built using the IndexType_Weighted type. Each relay has a weight equal to some specified bandwidth field in its consensus RelayInfo. If a relay is missing any of the `required_flags` in its meta section, or if it does not have the specified bandwidth field, that relay's weight becomes 0. A `WeightedIndex` is built by computing a BwIndex, and then transforming each relay in the list according to the flags that it has set. Relays that match any set of flags in the WeightedIndex rule get their bandwidths multiplied by _all_ WeightVals that apply. Some WeightVals are computed according to special rules, such as "Wgg", "Weg", and so on. These are taken from the current dir-spec.txt. For both BwIndex and WeightedIndex values, authorities MUST scale the computed outputs so that no value is greater than UINT32_MAX; they MUST do by shifting all values right by lowest number of bits that achieves this. > We could specify a more precise algorithm, but this is simpler. Indices with the same IndexGroupId are placed in the same index group; index groups are ordered numerically.  <a id='S3.8'></a> ## Computing a legacy consensus. When using a consensus method that supports Walking Onions, the legacy consensus is computed from the same data as the ENDIVE. Because the legacy consensus format will be frozen once Walking Onions is finalized, we specify this transformation directly, rather than in a more extensible way. The published time and descriptor digest are used directly. Microdescriptor negotiation proceeds as before. Bandwidths, measured bandwidths, descriptor digests, published times, flags, and rsa-id values are taken from the RelayMetaInfo section. Addresses, protovers, versions, and so on are taken from the RelaySNIPInfo. Header fields are all taken from the corresponding header fields in the MetaSection or the ClientParamsSection. All parameters are copied into the net-params field.  <a id='S3.9'></a> ## Managing indices over time. > The present voting mechanism does not do a great job of handling > the authorities The semantic meaning of most IndexId values, as understood by clients should remain unchanging; if a client uses index 6 for middle nodes, 6 should _always_ mean "middle nodes". If an IndexId is going to change its meaning over time, it should _not_ be hardcoded by clients; it should instead be listed in the NetParams document, as the exit indices are in the `port-classes` field. (See also section 6 and appendix AH.) If such a field needs to change, it also needs a migration method that allows clients with older and newer parameters documents to exist at the same time.  <a id='S4'></a> # Relay operations: Receiving and expanding ENDIVEs Previously, we introduced a format for ENDIVEs to be transmitted from authorities to relays. To save on bandwidth, the relays download diffs rather than entire ENDIVEs. The ENDIVE format makes several choices in order to make these diffs small: the Merkle tree is omitted, and routing indices are not included directly. To address those issues, this document describes the steps that a relay needs to perform, upon receiving an ENDIVE document, to derive all the SNIPs for that ENDIVE. Here are the steps to be followed. We'll describe them in order, though in practice they could be pipelined somewhat. We'll expand further on each step later on. 1. Compute routing indices positions. 2. Compute truncated SNIPRouterData variations. 3. Build signed SNIP data. 4. Compute Merkle tree. 5. Build authenticated SNIPs. Below we'll specify specific algorithms for these steps. Note that relays do not need to follow the steps of these algorithms exactly, but they MUST produce the same outputs as if they had followed them.  <a id='S4.1'></a> ## Computing index positions. For every IndexId in every Index Group, the relay will compute the full routing index. Every routing index is a mapping from index position ranges (represented as 2-tuples) to relays, where the relays are represented as ENDIVERouterData members of the ENDIVE. The routing index must map every possible value of the index to exactly one relay. An IndexSpec field describes how the index is to be constructed. There are four types of IndexSpec: Raw, Raw Spans, Weighted, RSAId, and Ed25519Id. We'll describe how to build the indices for each. Every index may either have an integer key, or a binary-string key. We define the "successor" of an integer index as the succeeding integer. We define the "successor" of a binary string as the next binary string of the same length in lexicographical (memcmp) order. We define "predecessor" as the inverse of "successor". Both these operations "wrap around" the index. The algorithms here describe a set of invariants that are "verified". Relays SHOULD check each of these invariants; authorities MUST NOT generate any ENDIVEs that violate them. If a relay encounters an ENDIVE that cannot be verified, then the ENDIVE cannot be expanded. > NOTE: conceivably should there be some way to define an index as a > subset of another index, with elements weighted in different ways? In > other words, "Index a is index b, except multiply these relays by 0 and > these relays by 1.2". We can keep this idea sitting around in case there > turns out to be a use for it.  <a id='S4.1.1'></a> ### Raw indices When the IndexType is Indextype_Raw, then its members are listed directly in the IndexSpec. Algorithm: Expanding a "Raw" indexspec. Let result_idx = {} (an empty mapping). Let previous_pos = indexspec.first_index For each element [i, pos2] of indexspec.index_ranges: Verify that i is a valid index into the list of ENDIVERouterData. Set pos1 = the successor of previous_pos. Verify that pos1 and pos2 have the same type. Append the mapping (pos1, pos2) => i to result_idx Set previous_pos to pos2. Verify that previous_pos = the predecessor of indexspec.first_index. Return result_idx.  <a id='S4.1.2'></a> ### Raw numeric indices If the IndexType is Indextype_RawNumeric, it is described by a set of spans on a 32-bit index range. Algorithm: Expanding a RawNumeric index. Let prev_pos = 0 For each element [i, span] of indexspec.index_ranges: Verify that i is a valid index into the list of ENDIVERouterData. Verify that prev_pos <= UINT32_MAX - span. Let pos2 = prev_pos + span. Append the mapping (pos1, pos2) => i to result_idx. Let prev_pos = successor(pos2) Verify that prev_pos = UINT32_MAX. Return result_idx.  <a id='S4.1.3'></a> ### Weighted indices If the IndexSpec type is Indextype_Weighted, then the index is described by assigning a probability weight to each of a number of relays. >From these, we compute a series of 32-bit index positions. This algorithm uses 64-bit math, and 64-by-32-bit integer division. It requires that the sum of weights is no more than UINT32_MAX. Algorithm: Expanding a "Weighted" indexspec. Let total_weight = SUM(indexspec.index_weights) Verify total_weight <= UINT32_MAX. Let total_so_far = 0. Let result_idx = {} (an empty mapping). Define POS(b) = FLOOR( (b << 32) / total_weight). For 0 <= i < LEN(indexspec.indexweights): Let w = indexspec.indexweights[i]. Let lo = POS(total_so_far). Let total_so_far = total_so_far + w. Let hi = POS(total_so_far) - 1. Append (lo, hi) => i to result_idx. Verify that total_so_far = total_weight. Verify that the last value of "hi" was UINT32_MAX. Return result_idx. This algorithm is a bit finicky in its use of division, but it results in a mapping onto 32 bit integers that completely covers the space of available indices.  <a id='S4.1.4'></a> ### RSAId indices If the IndexSpec type is Indextype_RSAId then the index is a set of binary strings describing the routers' legacy RSA identities, for use in the HSv2 hash ring. These identities are truncated to a fixed length. Though the SNIP format allows _variable_-length binary prefixes, we do not use this feature. Algorithm: Expanding an "RSAId" indexspec. Let R = [ ] (an empty list). Take the value n_bytes from the IndexSpec. For 0 <= b_idx < MIN( LEN(indexspec.members) * 8, LEN(list of ENDIVERouterData) ): Let b = the b_idx'th bit of indexspec.members. If b is 1: Let m = the b_idx'th member of the ENDIVERouterData list. Verify that m has its RSAIdentityFingerprint set. Let pos = m.RSAIdentityFingerprint, truncated to n_bytes. Add (pos, b_idx) to the list R. Return INDEX_FROM_RING_KEYS(R). Sub-Algorithm: INDEX_FROM_RING_KEYS(R) First, sort R according to its 'pos' field. For each member (pos, idx) of the list R: If this is the first member of the list R: Let key_low = pos for the last member of R. else: Let key_low = pos for the previous member of R. Let key_high = predecessor(pos) Add (key_low, key_high) => idx to result_idx. Return result_idx.  <a id='S4.1.5'></a> ### Ed25519 indices If the IndexSpec type is Indextype_Ed25519, then the index is a set of binary strings describing the routers' positions in a hash ring, derived from their Ed25519 identity keys. This algorithm is a generalization of the one used for hsv3 rings, to be used to compute the hsv3 ring and other possible future derivatives. Algorithm: Expanding an "Ed25519Id" indexspec. Let R = [ ] (an empty list). Take the values prefix, suffix, and n_bytes from the IndexSpec. Let H() be the digest algorithm specified by d_alg from the IndexSpec. For 0 <= b_idx < MIN( LEN(indexspec.members) * 8, LEN(list of ENDIVERouterData) ): Let b = the b_idx'th bit of indexspec.members. If b is 1: Let m = the b_idx'th member of the ENDIVERouterData list. Let key = m's ed25519 identity key, as a 32-byte value. Compute pos = H(prefix || key || suffix) Truncate pos to n_bytes. Add (pos, b_idx) to the list R. Return INDEX_FROM_RING_KEYS(R).  <a id='S4.1.6'></a> ### Building a SNIPLocation After computing all the indices in an IndexGroup, relays combine them into a series of SNIPLocation objects. Each SNIPLocation MUST contain all the IndexId => IndexRange entries that point to a given ENDIVERouterData, for the IndexIds listed in an IndexGroup. Algorithm: Build a list of SNIPLocation objects from a set of routing indices. Initialize R as [ { } ] * LEN(relays) (A list of empty maps) For each IndexId "ID" in the IndexGroup: Let router_idx be the index map calculated for ID. (This is what we computed previously.) For each entry ( (LO, HI) => idx) in router_idx: Let R[idx][ID] = (LO, HI). SNIPLocation objects are thus organized in the order in which they will appear in the Merkle tree: that is, sorted by the position of their corresponding ENDIVERouterData. Because SNIPLocation objects are signed, they must be encoded as "canonical" cbor, according to section 3.9 of RFC 7049. If R[idx] is {} (the empty map) for any given idx, then no SNIP will be generated for the SNIPRouterData at that routing index for this index group.  <a id='S4.2'></a> ## Computing truncated SNIPRouterData. An index group can include an `omit_from_snips` field to indicate that certain fields from a SNIPRouterData should not be included in the SNIPs for that index group. Since a SNIPRouterData needs to be signed, this process has to be deterministic. Thus, the truncated SNIPRouterData should be computed by removing the keys and values for EXACTLY the keys listed and no more. The remaining keys MUST be left in the same order that they appeared in the original SNIPRouterData, and they MUST NOT be re-encoded. (Two keys are "the same" if and only if they are integers encoding the same value, or text strings with the same UT-8 content.) There is no need to compute a SNIPRouterData when no SNIP is going to be generated for a given router.  <a id='S4.3'></a> ## Building the Merkle tree. After computing a list of (SNIPLocation, SNIPRouterData) for every entry in an index group, the relay needs to expand a Merkle tree to authenticate every SNIP. There are two steps here: First the relay generates the leaves, and then it generates the intermediate hashes. To generate the list of leaves for an index group, the relay first removes all entries from the (SNIPLocation, SNIPRouterData) list that have an empty index map. The relay then puts `n_padding_entries` "nil" entries at the end of the list. To generate the list of leaves for the whole Merkle tree, the relay concatenates these index group lists in the order in which they appear in the ENDIVE, and pads the resulting list with "nil" entries until the length of the list is a power of two: 2^`tree-depth` for some integer `tree-depth`. Let LEAF(IDX) denote the entry at position IDX in this list, where IDX is a D-bit bitstring. LEAF(IDX) is either a byte string or nil. The relay then recursively computes the hashes in the Merkle tree as follows. (Recall that `H_node()` and `H_leaf()` are hashes taking a bit-string PATH, a LIFESPAN and NONCE from the signature information, and a variable-length string ITEM.) Recursive defintion: HM(PATH) Given PATH a bitstring of length no more than tree-depth. Define S: S(nil) = an all-0 string of the same length as the hash output. S(x) = x, for all other x. If LEN(PATH) = tree-depth: (Leaf case.) If LEAF(PATH) = nil: HM(PATH) = nil. Else: HM(PATH) = H_node(PATH, LIFESPAN, NONCE, LEAF(PATH)). Else: Let LEFT = HM(PATH || 0) Let RIGHT = HM(PATH || 1) If LEFT = nil and RIGHT = nil: HM(PATH) = nil else: HM(PATH) = H_node(PATH, LIFESPAN, NONCE, S(LEFT) || S(RIGHT)) Note that entries aren't computed for "nil" leaves, or any node all of whose children are "nil". The "nil" entries only exist to place all leaves at a constant depth, and to enable spacing out different sections of the tree. If `signature-depth` for the ENDIVE is N, the relay does not need to compute any Merkle tree entries for PATHs of length shorter than N bits.  <a id='S4.4'></a> ## Assembling the SNIPs Finally, the relay has computed a list of encoded (SNIPLocation, RouterData) values, and a Merkle tree to authenticate them. At this point, the relay builds them into SNIPs, using the `sig_params` and `signatures` from the ENDIVE. Algorithm: Building a SNIPSignature for a SNIP. Given a non-nil (SNIPLocation, RouterData) at leaf position PATH. Let SIG_IDX = PATH, truncated to signature-depth bits. Consider SIG_IDX as an integer. Let Sig = signatures[SIG_IDX] -- either the SingleSig or the MultiSig for this snip. Let HashPath = [] (an empty list). For bitlen = signature-depth+1 ... tree-depth-1: Let X = PATH, truncated to bitlen bits. Invert the final bit of PATH. Append HM(PATH) to HashPath. The SnipSignature's signature values is Sig, and its merkle_path is HashPath.  <a id='S4.5'></a> ## Implementation considerations A relay only needs to hold one set of SNIPs at a time: once one ENDIVE's SNIPs have been extracted, then the SNIPs from the previous ENDIVE can be discarded. To save memory, a relay MAY store SNIPs to disk, and mmap them as needed.  <a id='S5'></a> # Extending circuits with Walking Onions When a client wants to extend a circuit, there are several possibilities. It might need to extend to an unknown relay with specific properties. It might need to extend to a particular relay from which it has received a SNIP before. In both cases, there are changes to be made in the circuit extension process. Further, there are changes we need to make for the handshake between the extending relay and the target relay. The target relay is no longer told by the client which of its onion keys it should use... so the extending relay needs to tell the target relay which keys are in the SNIP that the client is using.  <a id='S5.1'></a> ## Modifying the EXTEND/CREATE handshake First, we will require that proposal 249 (or some similar proposal for wide CREATE and EXTEND cells) is in place, so that we can have EXTEND cells larger than can fit in a single cell. (See 319-wide-everything.md for an example proposal to supersede 249.) We add new fields to the CREATE2 cell so that relays can send each other more information without interfering with the client's part of the handshake. The CREATE2, CREATED2, and EXTENDED2 cells change as follows: struct create2_body { // old fields u16 htype; // client handshake type u16 hlen; // client handshake length u8 hdata[hlen]; // client handshake data. // new fields u8 n_extensions; struct extension extension[n_extensions]; } struct created2_body { // old fields u16 hlen; u8 hdata[hlen]; // new fields u8 n_extensions; struct extension extension[n_extensions]; } struct truncated_body { // old fields u8 errcode; // new fields u8 n_extensions; struct extension extension[n_extensions]; } // EXTENDED2 cells can now use the same new fields as in the // created2 cell. struct extension { u16 type; u16 len; u8 body[len]; } These extensions are defined by this proposal: [01] -- `Partial_SNIPRouterData` -- Sent from an extending relay to a target relay. This extension holds one or more fields from the SNIPRouterData that the extending relay is using, so that the target relay knows (for example) what keys to use. (These fields are determined by the "forward_with_extend" field in the ENDIVE.) [02] -- Full_SNIP -- an entire SNIP that was used in an attempt to extend the circuit. This must match the client's provided index position. [03] -- Extra_SNIP -- an entire SNIP that was not used to extend the circuit, but which the client requested anyway. This can be sent back from the extending relay when the client specifies multiple index positions, or uses a nonzero "nth" value in their `snip_index_pos` link specifier. [04] -- SNIP_Request -- a 32-bit index position, or a single zero byte, sent away from the client. If the byte is 0, the originator does not want a SNIP. Otherwise, the originator does want a SNIP containing the router and the specified index. Other values are unspecified. By default, EXTENDED2 cells are sent with a SNIP iff the EXTENDED2 cell used a `snip_index_pos` link specifier, and CREATED2 cells are not sent with a SNIP.  <a id='S5.1.1'></a> ### New link specifiers We add a new link specifier type for a router index, using the following coding for its contents: /* Using trunnel syntax here. */ struct snip_index_pos { u32 index_id; // which index is it? u8 nth; // how many SNIPs should be skipped/included? u8 index_pos[]; // extends to the end of the link specifier. } The `index_pos` field can be longer or shorter than the actual width of the router index. If it is too long, it is truncated. If it is too short, it is extended with zero-valued bytes. Any number of these link specifiers may appear in an EXTEND cell. If there is more then one, then they should appear in order of client preference; the extending relay may extend to any of the listed routers. This link specifier SHOULD NOT be used along with IPv4, IPv6, RSA ID, or Ed25519 ID link specifiers. Relays receiving such a link specifier along with a `snip_index_pos` link specifier SHOULD reject the entire EXTEND request. If `nth` is nonzero, then link specifier means "the n'th SNIP after the one defined by the SNIP index position." A relay MAY reject this request if `nth` is greater than 4. If the relay does not reject this request, then it MUST include all snips between `index_pos` and the one that was actually used in an Extra_Snip extension. (Otherwise, the client would not be able to verify that it had gotten the correct SNIP.) > I've avoided use of CBOR for these types, under the assumption that we'd > like to use CBOR for directory stuff, but no more. We already have > trunnel-like objects for this purpose.  <a id='S5.2'></a> ## Modified ntor handshake We adapt the ntor handshake from tor-spec.txt for this use, with the following main changes. * The NODEID and KEYID fields are omitted from the input. Instead, these fields _may_ appear in a PartialSNIPData extension. * The NODEID and KEYID fields appear in the reply. * The NODEID field is extended to 32 bytes, and now holds the relay's ed25519 identity. So the client's message is now: CLIENT_PK [32 bytes] And the relay's reply is now: NODEID [32 bytes] KEYID [32 bytes] SERVER_PK [32 bytes] AUTH [32 bytes] otherwise, all fields are computed as described in tor-spec. When this handshake is in use, the hash function is SHA3-256 and keys are derived using SHAKE-256, as in rend-spec-v3.txt. > Future work: We may wish to update this choice of functions > between now and the implementation date, since SHA3 is a bit > pricey. Perhaps one of the BLAKEs would be a better choice. If > so, we should use it more generally. On the other hand, the > presence of public-key operations in the handshake _probably_ > outweighs the use of SHA3. We will have to give this version of the handshake a new handshake type.  <a id='S5.3'></a> ## New relay behavior on EXTEND and CREATE failure. If an EXTEND2 cell based on an routing index fails, the relay should not close the circuit, but should instead send back a TRUNCATED cell containing the SNIP in an extension. If a CREATE2 cell fails and a SNIP was requested, then instead of sending a DESTROY cell, the relay SHOULD respond with a CREATED2 cell containing 0 bytes of handshake data, and the SNIP in an extension. Clients MAY re-extend or close the circuit, but should not leave it dangling.  <a id='S5.4'></a> ## NIL handshake type We introduce a new handshake type, "NIL". The NIL handshake always fails. A client's part of the NIL handshake is an empty bytestring; there is no server response that indicates success. The NIL handshake can used by the client when it wants to fetch a SNIP without creating a circuit. Upon receiving a request to extend with the NIL circuit type, a relay SHOULD NOT actually open any connection or send any data to the target relay. Instead, it should respond with a TRUNCATED cell with the SNIP(s) that the client requested in one or more Extra_SNIP extensions.  <a id='S5.5'></a> ## Padding handshake cells to a uniform size To avoid leaking information, all CREATE/CREATED/EXTEND/EXTENDED cells SHOULD be padded to the same sizes. In all cases, the amount of padding is controlled by a set of network parameters: "create-pad-len", "created-pad-len", "extend-pad-len" and "extended-pad-len". These parameters determine the minimum length that the cell body or relay cell bodies should be. If a cell would be sent whose body is less than the corresponding parameter value, then the sender SHOULD pad the body by adding zero-valued bytes to the cell body. As usual, receivers MUST ignore extra bytes at the end of cells. > ALTERNATIVE: We could specify a more complicated padding > mechanism, eg. 32 bytes of zeros then random bytes.  <a id='S6'></a> # Client behavior with walking onions Today's Tor clients have several behaviors that become somewhat more difficult to implement with Walking Onions. Some of these behaviors are essential and achievable. Others can be achieved with some effort, and still others appear to be incompatible with the Walking Onions design.  <a id='S6.1'></a> ## Bootstrapping and guard selection When a client first starts running, it has no guards on the Tor network, and therefore can't start building circuits immediately. To produce a list of possible guards, the client begins connecting to one or more fallback directories on their ORPorts, and building circuits through them. These are 3-hop circuits. The first hop of each circuit is the fallback directory; the second and third hops are chosen from the Middle routing index. At the third hop, the client then sends an informational request for a guard's SNIP. This informational request is an EXTEND2 cell with handshake type NIL, using a random spot on the Guard routing index. Each such request yields a single SNIP that the client will store. These SNIPs, in the order in which they were _requested_, will form the client's list of "Sampled" guards as described in guard-spec.txt. Clients SHOULD ensure that their sampled guards are not linkable to one another. In particular, clients SHOULD NOT add more than one guard retrieved from the same third hop on the same circuit. (If it did, that third hop would realize that some client using guard A was also using guard B.) > Future work: Is this threat real? It seems to me that knowing one or two > guards at a time in this way is not a big deal, though knowing the whole > set would sure be bad. However, we shouldn't optimize this kind of > defense away until we know that it's actually needless. If a client's network connection or choice of entry nodes is heavily restricted, the client MAY request more than one guard at a time, but if it does so, it SHOULD discard all but one guard retrieved from each set. After choosing guards, clients will continue to use them even after their SNIPs expire. On the first circuit through each guard after opening a channel, clients should ask that guard for a fresh SNIP for itself, to ensure that the guard is still listed in the consensus, and to keep the client's information up-to-date.  <a id='S6.2'></a> ## Using bridges As now, clients are configured to use a bridge by using an address and a public key for the bridge. Bridges behave like guards, except that they are not listed in any directory or ENDIVE, and so cannot prove membership when the client connects to them. On the first circuit through each channel to a bridge, the client asks that bridge for a SNIP listing itself in the `Self` routing index. The bridge responds with a self-created unsigned SNIP: ; This is only valid when received on an authenticated connection ; to a bridge. UnsignedSNIP = [ ; There is no signature on this SNIP. auth : nil, ; Next comes the location of the SNIP within the ENDIVE. This ; SNIPLocation will list only the Self index. index : bstr .cbor SNIPLocation, ; Finally comes the information about the router. router : bstr .cbor SNIPRouterData, ] *Security note*: Clients MUST take care to keep UnsignedSNIPs separated from signed ones. These are not part of any ENDIVE, and so should not be used for any purpose other than connecting through the bridge that the client has received them from. They should be kept associated with that bridge, and not used for any other, even if they contain other link specifiers or keys. The client MAY use link specifiers from the UnsignedSNIP on future attempts to connect to the bridge.  <a id='S6.3'></a> ## Finding relays by exit policy To find a relay by exit policy, clients might choose the exit routing index corresponding to the exit port they want to use. This has negative privacy implications, however, since the middle node discovers what kind of exit traffic the client wants to use. Instead, we support two other options. First, clients may build anonymous three-hop circuits and then use those circuits to request the SNIPs that they will use for their exits. This may, however, be inefficient. Second, clients may build anonymous three-hop circuits and then use a BEGIN cell to try to open the connection when they want. When they do so, they may include a new flag in the begin cell, "DVS" to enable Delegated Verifiable Selection. As described in the Walking Onions paper, DVS allows a relay that doesn't support the requested port to instead send the client the SNIP of a relay that does. (In the paper, the relay uses a digest of previous messages to decide which routing index to use. Instead, we have the client send an index field.) This requires changes to the BEGIN and END cell formats. After the "flags" field in BEGIN cells, we add an extension mechanism: struct begin_cell { nulterm addr_port; u32 flags; u8 n_extensions; struct extension exts[n_extensions]; } We allow the `snip_index_pos` link specifier type to appear as a begin extension. END cells will need to have a new format that supports including policy and SNIP information. This format is enabled whenever a new `EXTENDED_END_CELL` flag appears in the begin cell. struct end_cell { u8 tag IN [ 0xff ]; // indicate that this isn't an old-style end cell. u8 reason; u8 n_extensions; struct extension exts[n_extensions]; } We define three END cell extensions. Two types are for addresses, that indicate what address was resolved and the associated TTL: struct end_ext_ipv4 { u32 addr; u32 ttl; } struct end_ext_ipv6 { u8 addr[16]; u32 ttl; } One new END cell extension is used for delegated verifiable selection: struct end_ext_alt_snip { u16 index_id; u8 snip[..]; } This design may require END cells to become wider; see 319-wide-everything.md for an example proposal to supersede proposal 249 and allow more wide cell types.  <a id='S6.4'></a> ## Universal path restrictions There are some restrictions on Tor paths that all clients should obey, unless they are configured not to do so. Some of these restrictions (like "start paths with a Guard node" or "don't use an Exit as a middle when Exit bandwidth is scarce") are captured by the index system. Some other restrictions are not. Here we describe how to implement those. The general approach taken here is "build and discard". Since most possible paths will not violate these universal restrictions, we accept that a fraction of the paths built will not be usable. Clients tear them down a short time after they are built. Clients SHOULD discard a circuit if, after it has been built, they find that it contains the same relay twice, or it contains more than one relay from the same family or from the same subnet. Clients MAY remember the SNIPs they have received, and use those SNIPs to avoid index ranges that they would automatically reject. Clients SHOULD NOT store any SNIP for longer than it is maximally recent. > NOTE: We should continue to monitor the fraction of paths that are > rejected in this way. If it grows too high, we either need to amend > the path selection rules, or change authorities to e.g. forbid more > than a certain fraction of relay weight in the same family or subnet. > FUTURE WORK: It might be a good idea, if these restrictions truly are > 'universal', for relays to have a way to say "You wouldn't want that > SNIP; I am giving you the next one in sequence" and send back both > SNIPs. This would need some signaling in the EXTEND/EXTENDED cells.  <a id='S6.5'></a> ## Client-configured path restrictions Sometimes users configure their clients with path restrictions beyond those that are in ordinary use. For example, a user might want to enter only from US relays, but never exit from US. Or they might be configured with a short list of vanguards to use in their second position.  <a id='S6.5.1'></a> ### Handling "light" restrictions If a restriction only excludes a small number of relays, then clients can continue to use the "build and discard" methodology described above.  <a id='S6.5.2'></a> ### Handling some "heavy" restrictions Some restrictions can exclude most relays, and still be reasonably easy to implement if they only _include_ a small fraction of relays. For example, if the user has a EntryNodes restriction that contains only a small group of relays by exact IP address, the client can connect or extend to one of those addresses specifically. If we decide IP ranges are important, that IP addresses without ports are important, or that key specifications are important, we can add routing indices that list relays by IP, by RSAId, or by Ed25519 Id. Clients could then use those indices to remotely retrieve SNIPs, and then use those SNIPs to connect to their selected relays. > Future work: we need to decide how many of the above functions to actually > support.  <a id='S6.5.3'></a> ### Recognizing too-heavy restrictions The above approaches do not handle all possible sets of restrictions. In particular, they do a bad job for restrictions that ban a large fraction of paths in a way that is not encodeable in the routing index system. If there is substantial demand for such a path restriction, implementors and authority operators should figure out how to implement it in the index system if possible. Implementations SHOULD track what fraction of otherwise valid circuits they are closing because of the user's configuration. If this fraction is above a certain threshold, they SHOULD issue a warning; if it is above some other threshold, they SHOULD refuse to build circuits entirely. > Future work: determine which fraction appears in practice, and use that to > set the appropriate thresholds above.  <a id='S7'></a> # Using and providing onion services with Walking Onions Both live versions of the onion service design rely on a ring of hidden service directories for use in uploading and downloading hidden service descriptors. With Walking Onions, we can use routing indices based on Ed25519 or RSA identity keys to retrieve this data. (The RSA identity ring is unchanging, whereas the Ed25519 ring changes daily based on the shared random value: for this reason, we have to compute two simultaneous indices for Ed25519 rings: one for the earlier date that is potentially valid, and one for the later date that is potentially valid. We call these `hsv3-early` and `hsv3-late`.) Beyond the use of these indices, however, there are other steps that clients and services need to take in order to maintain their privacy.  <a id='S7.1'></a> ## Finding HSDirs When a client or service wants to contact an HSDir, it SHOULD do so anonymously, by building a three-hop anonymous circuit, and then extending it a further hop using the snip_span link specifier to upload to any of the first 3 replicas on the ring. Clients SHOULD choose an 'nth' at random; services SHOULD upload to each replica. Using a full 80-bit or 256-bit index position in the link specifier would leak the chosen service to somebody other than the directory. Instead, the client or service SHOULD truncate the identifier to a number of bytes equal to the network parameter `hsv2-index-bytes` or `hsv3-index-bytes` respectively. (See Appendix C.)  <a id='S7.2'></a> ## SNIPs for introduction points When services select an introduction point, they should include the SNIP for the introduction point in their hidden service directory entry, along with the introduction-point fields. The format for this entry is: "snip" NL snip NL [at most once per introduction points] Clients SHOULD begin treating the link specifier and onion-key fields of each introduction point as optional when the "snip" field is present, and when the `hsv3-tolerate-no-legacy` network parameter is set to 1. If either of these fields _is_ present, and the SNIP is too, then these fields MUST match those listed in the SNIPs. Clients SHOULD reject descriptors with mismatched fields, and alert the user that the service may be trying a partitioning attack. The "legacy-key" and "legacy-key-cert" fields, if present, should be checked similarly. > Using the SNIPs in these ways allows services to prove that their > introduction points have actually been listed in the consensus > recently. It also lets clients use introduction point features > that the relay might not understand. Services should include these fields based on a set of network parameters: `hsv3-intro-snip` and `hsv3-intro-legacy-fields`. (See appendix C.) Clients should use these fields only when Walking Onions support is enabled; see section 09.  <a id='S7.3'></a> ## SNIPs for rendezvous points When a client chooses a rendezvous point for a v3 onion service, it similarly has the opportunity to include the SNIP of its rendezvous point in the encrypted part of its INTRODUCE cell. (This may cause INTRODUCE cells to become fragmented; see proposal about fragmenting relay cells.) > Using the SNIPs in these ways allows services to prove that their > introduction points have actually been listed in the consensus > recently. It also lets services use introduction point features > that the relay might not understand. To include the SNIP, the client places it in an extension in the INTRODUCE cell. The onion key can now be omitted[*], along with the link specifiers. > [*] Technically, we use a zero-length onion key, with a new type > "implicit in SNIP". To know whether the service can recognize this kind of cell, the client should look for the presence of a "snips-allowed 1" field in the encrypted part of the hidden service descriptor. In order to prevent partitioning, services SHOULD NOT advertise "snips-allowed 1" unless the network parameter "hsv3-rend-service-snip" is set to 1. Clients SHOULD NOT use this field unless "hsv3-rend-client-snip" is set to 1.  <a id='S7.4'></a> ## TAP keys and where to find them If v2 hidden services are still supported when Walking Onions arrives on the network, we have two choices: We could migrate them to use ntor keys instead of TAP, or we could provide a way for TAP keys to be advertised with Walking Onions. The first option would appear to be far simpler. See proposal draft 320-tap-out-again.md. The latter option would require us to put RSA-1024 keys in SNIPs, or put a digest of them in SNIPs and give some way to retrieve them independently. (Of course, it's possible that we will have v2 onion services deprecated by the time Walking Onions is implemented. If so, that will simplify matters a great deal too.)  <a id='S8'></a> # Tracking Relay honesty Our design introduces an opportunity for dishonest relay behavior: since multiple ENDIVEs are valid at the same time, a malicious relay might choose any of several possible SNIPs in response to a client's routing index value. Here we discuss several ways to mitigate this kind of attack.  <a id='S8.1'></a> ## Defense: index stability First, the voting process should be designed such that relays do not needlessly move around the routing index. For example, it would _not_ be appropriate to add an index type whose value is computed by first putting the relays into a pseudorandom order. Instead, index voting should be deterministic and tend to give similar outputs for similar inputs. This proposal tries to achieve this property in its index voting algorithms. We should measure the degree to which we succeed over time, by looking at all of the ENDIVEs that are valid at any particular time, and sampling several points for each index to see how many distinct relays are listed at each point, across all valid ENDIVEs. We do not need this stability property for routing indices whose purpose is nonrandomized relay selection, such as those indices used for onion service directories.  <a id='S8.2'></a> ## Defense: enforced monotonicity Once an honest relay has received an ENDIVE, it has no reason to keep any previous ENDIVEs or serve SNIPs from them. Because of this, relay implementations SHOULD ensure that no data is served from a new ENDIVE until all the data from an old ENDIVE is thoroughly discarded. Clients and relays can use this monotonicity property to keep relays honest: once a relay has served a SNIP with some timestamp `T`, that relay should never serve any other SNIP with a timestamp earlier than `T`. Clients SHOULD track the most recent SNIP timestamp that they have received from each of their guards, and MAY track the most recent SNIP timestamps that they have received from other relays as well.  <a id='S8.3'></a> ## Defense: limiting ENDIVE variance within the network. The primary motivation for allowing long (de facto) lifespans on today's consensus documents is to keep the network from grinding to a halt if the authorities fail to reach consensus for a few hours. But in practice, _if_ there is a consensus, then relays should have it within an hour or two, so they should not be falling a full day out of date. Therefore we can potentially add a client behavior that, within N minutes after the client has seen any SNIP with timestamp `T`, the client should not accept any SNIP with timestamp earlier than `T - Delta`. Values for N and Delta are controlled by network parameters (`enforce-endive-dl-delay-after` and `allow-endive-dl-delay` respectively in appendix C). N should be about as long as we expect it to take for a single ENDIVE to propagate to all the relays on the network; Delta should be about as long as we would like relays to go between updating ENDIVEs under ideal circumstances.  <a id='S9'></a> # Migrating to Walking Onions This proposal is a major change in the Tor network that will eventually require the participation of all relays [*], and will make clients who support it distinguishable from clients that don't. > [*] Technically, the last relay in the path doesn't need support. To keep the compatibility issues under control, here is the order in which it should be deployed on the network. 1. First, authorities should add support for voting on ENDIVEs. 2. Relays may immediately begin trying to download and reconstruct ENDIVEs. (Relay versions are public, so they leak nothing by doing this.) 3. Once a sufficient number of authorities are voting on ENDIVEs and unlikely to downgrade, relays should begin serving parameter documents and responding to walking-onion EXTEND and CREATE cells. (Again, relay versions are public, so this doesn't leak.) 4. In parallel with relay support, Tor should also add client support for Walking Onions. This should be disabled by default, however, since it will only be usable with the subset of relays that support Walking Onions, and since it would make clients distinguishable. 5. Once enough of the relays (possibly, all) support Walking Onions, the client support can be turned on. They will not be able to use old relays that do not support Walking Onions. 6. Eventually, relays that do not support Walking Onions should not be listed in the consensus. Client support for Walking Onions should be enabled or disabled, at first, with a configuration option. Once it seems stable, the option should have an "auto" setting that looks at a network parameter. This parameter should NOT be a simple "on" or "off", however: it should be the minimum client version whose support for Walking Onions is believed to be correct.  <a id='S9.1'></a> ## Future work: migrating away from sedentary onions Once all clients are using Walking Onions, we can take a pass through the Tor specifications and source code to remove no-longer-needed code. Clients should be the first to lose support for old directories, since nobody but the clients depends on the clients having them. Only after obsolete clients represent a very small fraction of the network should relay or authority support be disabled. Some fields in router descriptors become obsolete with Walking Onions, and possibly router descriptors themselves should be replaced with cbor objects of some kind. This can only happen, however, after no descriptor users remain.  <a id='SA'></a> # Appendices  <a id='SA.1'></a> ## Appendix A: Glossary I'm going to put a glossary here so I can try to use these terms consistently. *SNIP* -- A "Separable Network Index Proof". Each SNIP contains the information necessary to use a single Tor relay, and associates the relay with one or more index ranges. SNIPs are authenticated by the directory authorities. *ENDIVE* -- An "Efficient Network Directory with Individually Verifiable Entries". An ENDIVE is a collection of SNIPS downloaded by relays, authenticated by the directory authorities. *Routing index* -- A routing index is a map from binary strings to relays, with some given property. Each relay that is in the routing index is associated with a single *index range*. *Index range* -- A range of positions withing a routing index. Each range contains many positions. *Index position* -- A single value within a routing index. Every position in a routing index corresponds to a single relay. *ParamDoc* -- A network parameters document, describing settings for the whole network. Clients download this infrequently. *Index group* -- A collection of routing indices that are encoded in the same SNIPs.  <a id='SA.2'></a> ## Appendix B: More cddl definions ; These definitions are used throughout the rest of the ; proposal ; Ed25519 keys are 32 bytes, and that isn't changing. Ed25519PublicKey = bstr .size 32 ; Curve25519 keys are 32 bytes, and that isn't changing. Curve25519PublicKey = bstr .size 32 ; 20 bytes or fewer: legacy RSA SHA1 identity fingerprint. RSAIdentityFingerprint = bstr ; A 4-byte integer -- or to be cddl-pedantic, one that is ; between 0 and UINT32_MAX. uint32 = uint .size 4 ; Enumeration to define integer equivalents for all the digest algorithms ; that Tor uses anywhere. Note that some of these are not used in ; this spec, but are included so that we can use this production ; whenever we need to refer to a hash function. DigestAlgorithm = &( NoDigest: 0, SHA1 : 1, ; deprecated. SHA2-256: 2, SHA2-512: 3, SHA3-256: 4, SHA3-512: 5, Kangaroo12-256: 6, Kangaroo12-512: 7, ) ; A digest is represented as a binary blob. Digest = bstr ; Enumeration for different signing algorithms. SigningAlgorithm = &( RSA-OAEP-SHA1 : 1, ; deprecated. RSA-OAEP-SHA256: 2, ; deprecated. Ed25519 : 3, Ed448 : 4, BLS : 5, ; Not yet standardized. ) PKAlgorithm = &( SigningAlgorithm, Curve25519: 100, Curve448 : 101 ) KeyUsage = &( ; A master unchangeable identity key for this authority. May be ; any signing key type. Distinct from the authority's identity as a ; relay. AuthorityIdentity: 0x10, ; A medium-term key used for signing SNIPs, votes, and ENDIVEs. SNIPSigning: 0x11, ; These are designed not to collide with the "list of certificate ; types" or "list of key types" in cert-spec.txt ) CertType = &( VotingCert: 0x12, ; These are designed not to collide with the "list of certificate ; types" in cert-spec.txt. ) LinkSpecifier = bstr  <a id='SA.3'></a> ## Appendix C: new numbers to assign. Relay commands: * We need a new relay command for "FRAGMENT" per proposal 319. CREATE handshake types: * We need a type for the NIL handshake. * We need a handshake type for the new ntor handshake variant. Link specifiers: * We need a link specifier for extend-by-index. * We need a link specifier for dirport URL. Certificate Types and Key Types: * We need to add the new entries from CertType and KeyUsage to cert-spec.txt, and possibly merge the two lists. Begin cells: * We need a flag for Delegated Verifiable Selection. * We need an extension type for extra data, and a value for indices. End cells: * We need an extension type for extra data, a value for indices, a value for IPv4 addresses, and a value for IPv6 addresses. Extensions for decrypted INTRODUCE2 cells: * A SNIP for the rendezvous point. Onion key types for decrypted INTRODUCE2 cells: * An "onion key" to indicate that the onion key for the rendezvous point is implicit in the SNIP. New URLs: * A URL for fetching ENDIVEs. * A URL for fetching client / relay parameter documents * A URL for fetching detached SNIP signatures. Protocol versions: (In theory we could omit many new protovers here, since being listed in an ENDIVE implies support for the new protocol variants. We're going to use new protovers anyway, however, since doing so keeps our numbering consistent.) We need new versions for these subprotocols: * _Relay_ to denote support for new handshake elements. * _DirCache_ to denote support for ENDIVEs, paramdocs, binary diffs, etc. * _Cons_ to denote support for ENDIVEs  <a id='SA.4'></a> ## Appendix D: New network parameters. We introduce these network parameters: >From section 5: * `create-pad-len` -- Clients SHOULD pad their CREATE cell bodies to this size. * `created-pad-len` -- Relays SHOULD pad their CREATED cell bodies to this size. * `extend-pad-len` -- Clients SHOULD pad their EXTEND cell bodies to this size. * `extended-pad-len` -- Relays SHOULD pad their EXTENDED cell bodies to this size. >From section 7: * `hsv2-index-bytes` -- how many bytes to use when sending an hsv2 index position to look up a hidden service directory. Min: 1, Max: 40. Default: 4. * `hsv3-index-bytes` -- how many bytes to use when sending an hsv3 index position to look up a hidden service directory. Min: 1, Max: 128. Default: 4. * `hsv3-intro-legacy-fields` -- include legacy fields in service descriptors. Min: 0. Max: 1. Default: 1. * `hsv3-intro-snip` -- include intro point SNIPs in service descriptors. Min: 0. Max: 1. Default: 0. * `hsv3-rend-service-snip` -- Should services advertise and accept rendezvous point SNIPs in INTRODUCE2 cells? Min: 0. Max: 1. Default: 0. * `hsv3-rend-client-snip` -- Should clients place rendezvous point SNIPS in INTRODUCE2 cells when the service supports it? Min: 0. Max: 1. Default: 0. * `hsv3-tolerate-no-legacy` -- Should clients tolerate v3 service descriptors that don't have legacy fields? Min: 0. Max: 1. Default: 0. >From section 8: * `enforce-endive-dl-delay-after` -- How many seconds after receiving a SNIP with some timestamp T does a client wait for rejecting older SNIPs? Equivalent to "N" in "limiting ENDIVE variance within the network." Min: 0. Max: INT32_MAX. Default: 3600 (1 hour). * `allow-endive-dl-delay` -- Once a client has received an SNIP with timestamp T, it will not accept any SNIP with timestamp earlier than "allow-endive-dl-delay" seconds before T. Equivalent to "Delta" in "limiting ENDIVE variance within the network." Min: 0. Max: 2592000 (30 days). Default: 10800 (3 hours).  <a id='SA.5'></a> ## Appendix E: Semantic sorting for CBOR values. Some voting operations assume a partial ordering on CBOR values. We define such an ordering as follows: * bstr and tstr items are sorted lexicographically, as if they were compared with a version of strcmp() that accepts internal NULs. * uint and int items are are sorted by integer values. * arrays are sorted lexicographically by elements. * Tagged items are sorted as if they were not tagged. * Maps do not have any sorting order. * False precedes true. * Otherwise, the ordering between two items is not defined. More specifically: Algorithm: compare two cbor items A and B. Returns LT, EQ, GT, or NIL. While A is tagged, remove the tag from A. While B is tagged, remove the tag from B. If A is any integer type, and B is any integer type: return A cmp B If the type of A is not the same as the type of B: return NIL. If A and B are both booleans: return int(A) cmp int(B), where int(false)=0 and int(B)=1. If A and B are both tstr or both bstr: while len(A)>0 and len(B)>0: if A[0] != B[0]: return A[0] cmp B[0] Discard A[0] and B[0] If len(A) == len(B) == 0: return EQ. else if len(A) == 0: return LT. (B is longer) else: return GT. (A is longer) If A and B are both arrays: while len(A)>0 and len(B)>0: Run this algorithm recursively on A[0] and B[0]. If the result is not EQ: Return that result. Discard A[0] and B[0] If len(A) == len(B) == 0: return EQ. else if len(A) == 0: return LT. (B is longer) else: return GT. (A is longer) Otherwise, A and B are a type for which we do not define an ordering, so return NIL.  <a id='SA.6'></a> ## Appendix F: Example voting rules Here we give a set of voting rules for the fields described in our initial VoteDocuments. { meta: { voting-delay: { op: "Mode", tie_low:false, type:["tuple","uint","uint"] }, voting-interval: { op: "Median", type:"uint" }, snip-lifespan: {op: "Mode", type:["tuple","uint","uint","uint"] }, c-param-lifetime: {op: "Mode", type:["tuple","uint","uint","uint"] }, s-param-lifetime: {op: "Mode", type:["tuple","uint","uint","uint"] }, cur-shared-rand: {op: "Mode", min_count: "qfield", type:["tuple","uint","bstr"]}, prev-shared-rand: {op: "Mode", min_count: "qfield", type:["tuple","uint","bstr"]}, client-params: { recommend-versions: {op:"SetJoin", min_count:"qfield",type:"tstr"}, require-protos: {op:"BitThreshold", min_count:"sqauth"}, recommend-protos: {op:"BitThreshold", min_count:"qauth"}, params: {op:"MapJoin",key_min_count:"qauth", keytype:"tstr", item_op:{op:"Median",min_vote:"qauth",type:"uint"}, }, certs: {op:"SetJoin",min_count:1, type: 'bstr'}, }, ; Use same value for server-params. relay: { meta: { desc: {op:"Mode", min_count:"qauth",tie_low:false, type:["uint","bstr"] }, flags: {op:"MapJoin", key_type:"tstr", item_op:{op:"Mode",type:"bool"}}, bw: {op:"Median", type:"uint" }, mbw :{op:"Median", type:"uint" }, rsa-id: {op:"Mode", type:"bstr"}, }, snip: { ; ed25519 key is handled as any other value. 0: { op:"DerivedFrom", fields:[["RM","desc"]], rule:{op:"Mode",type="bstr"} }, ; ntor onion key. 1: { op:"DerivedFrom", fields:[["RM","desc"]], rule:{op:"Mode",type="bstr"} }, ; link specifiers. 2: { op: "CborDerived", item-op: { op:"DerivedFrom", fields:[["RM","desc"]], rule:{op:"Mode",type="bstr" } } }, ; software description. 3: { op:"DerivedFrom", fields:[["RM","desc"]], rule:{op:"Mode",type=["tuple", "tstr", "tstr"] } }, ; protovers. 4: { op: "CborDerived", item-op: { op:"DerivedFrom", fields:[["RM","desc"]], rule:{op:"Mode",type="bstr" } } }, ; families. 5: { op:"SetJoin", min_count:"qfield", type:"bstr" }, ; countrycode 6: { op:"Mode", type="tstr" } , ; 7: exitpolicy. 7: { op: "CborDerived", item-op: { op: "DerivedFrom", fields:[["RM","desc"],["CP","port-classes"]], rule:{op:"Mode",type="bstr" } } }, }, legacy: { "sha1-desc": { op:"DerivedFrom", fields:[["RM","desc"]], rule:{op:"Mode",type="bstr"} }, "mds": { op:"DerivedFrom", fields:[["RM":"desc"]], rule: { op:"ThresholdOp", min_count: "qauth", multi_low:false, type:["tuple", "uint", "uint", "bstr", "bstr" ] }}, } } indices: { ; See appendix G. } }  <a id='SA.7'></a> ## Appendix G: A list of routing indices Middle -- general purpose index for use when picking middle hops in circuits. Bandwidth-weighted for use as middle relays. May exclude guards and/or exits depending on overall balance of resources on the network. Formula: type: 'weighted', source: { type:'bw', require_flags: ['Valid'], 'bwfield' : ["RM", "mbw"] }, weight: { [ "!Exit", "!Guard" ] => "Wmm", [ "Exit", "Guard" ] => "Wbm", [ "Exit", "!Guard" ] => "Wem", [ "!Exit", "Guard" ] => "Wgm", } Guard -- index for choosing guard relays. This index is not used directly when extending, but instead only for _picking_ guard relays that the client will later connect to directly. Bandwidth-weighted for use as guard relays. May exclude guard+exit relays depending on resource balance. type: 'weighted', source: { type:'bw', require_flags: ['Valid', "Guard"], bwfield : ["RM", "mbw"] }, weight: { [ "Exit", ] => "Weg", } HSDirV2 -- index for finding spots on the hsv2 directory ring. Formula: type: 'rsa-id', HSDirV3-early -- index for finding spots on the hsv3 directory ring for the earlier of the two "active" days. (The active days are today, and whichever other day is closest to the time at which the ENDIVE becomes active.) Formula: type: 'ed-id' alg: SHA3-256, prefix: b"node-idx", suffix: (depends on shared-random and time period) HSDirV3-late -- index for finding spots on the hsv3 directory ring for the later of the two "active" days. Formula: as HSDirV3-early, but with a different suffix. Self -- A virtual index that never appears in an ENDIVE. SNIPs with this index are unsigned, and occupy the entire index range. This index is used with bridges to represent each bridge's uniqueness. Formula: none. Exit0..ExitNNN -- Exits that can connect to all ports within a given PortClass 0 through NNN. Formula: type: 'weighted', source: { type:'bw', ; The second flag here depends on which portclass this is. require_flags: [ 'Valid', "P@3" ], bwfield : ["RM", "mbw"] }, weight: { [ "Guard", ] => "Wge", }  <a id='SA.8'></a> ## Appendix H: Choosing good clusters of exit policies With Walking Onions, we cannot easily support all the port combinations [*] that we currently allow in the "policy summaries" that we support in microdescriptors. > [*] How many "short policy summaries" are there? The number would be > 2^65535, except for the fact today's Tor doesn't permit exit policies to > get maximally long. In the Walking Onions whitepaper (https://crysp.uwaterloo.ca/software/walkingonions/) we noted in section 6 that we can group exit policies by class, and get down to around 220 "classes" of port, such that each class was either completely supported or completely unsupported by every relay. But that number is still impractically large: if we need ~11 bytes to represent a SNIP index range, we would need an extra 2320 bytes per SNIP, which seems like more overhead than we really want. We can reduce the number of port classes further, at the cost of some fidelity. For example, suppose that the set {https,http} is supported by relays {A,B,C,D}, and that the set {ssh,irc} is supported by relays {B,C,D,E}. We could combine them into a new port class {https,http,ssh,irc}, supported by relays {B,C,D} -- at the expense of no longer being able to say that relay A supported {https,http}, or that relay E supported {ssh,irc}. This loss would not necessarily be permanent: the operator of relay A might be willing to add support for {ssh,irc}, and the operator of relay E might be willing to add support for {https,http}, in order to become useful as an exit again. (We might also choose to add a configuration option for relays to take their exit policies directly from the port classes in the consensus.) How might we select our port classes? Three general categories of approach seem possible: top-down, bottom-up, and hybrid. In a top-down approach, we would collaborate with authority and exit operators to identify _a priori_ reasonable classes of ports, such as "Web", "Chat", "Miscellaneous internet", "SMTP", and "Everything else". Authorities would then base exit indices on these classes. In a bottom-up approach, we would find an algorithm to run on the current exit policies in order to find the "best" set of port classes to capture the policies as they stand with minimal loss. (Quantifying this loss is nontrivial: do we weight by bandwidth? Do we weight every port equally, or do we call some more "important" than others?) > See exit-analysis for an example tool that runs a greedy algorithm > to find a "good" partition using an unweighted, > all-ports-are-equal cost function. See the files > "greedy-set-cov-{4,8,16}" for examples of port classes produced > by this algorithm. In a hybrid approach, we'd use top-down and bottom-up techniques together. For example, we could start with an automated bottom-up approach, and then evaluate it based feedback from operators. Or we could start with a handcrafted top-down approach, and then use bottom-up cost metrics to look for ways to split or combine those port classes in order to represent existing policies with better fidelity.  <a id='SA.9'></a> ## Appendix I: Non-clique topologies with Walking Onions For future work, we can expand the Walking Onions design to accommodate network topologies where relays are divided into groups, and not every group connects to every other. To do so requires additional design work, but here I'll provide what I hope will be a workable sketch. First, each SNIP needs to contain an ID saying which relay group it belongs to, and an ID saying which relay group(s) may serve it. When downloading an ENDIVE, each relay should report its own identity, and receive an ENDIVE for that identity's group. It should contain both the identities of relays in the group, and the SNIPs that should be served for different indices by members of that group. The easy part would be to add an optional group identity field to SNIPs, defaulting to 0, indicating that the relay belongs to that group, and an optional served-by field to each SNIP, indicating groups that may serve the SNIP. You'd only accept SNIPs if they were served by a relay in a group that was allowed to serve them. Would guards work? Sure: we'd need to have guard SNIPS served by middle relays. For hsdirs, we'd need to have either multiple shards of the hsdir ring (which seems like a bad idea?) or have all middle nodes able to reach the hsdir ring. Things would get tricky with making onion services work: if you need to use an introduction point or a rendezvous point in group X, then you need to get there from a relay that allows connections to group X. Does this imply indices meaning "Can reach group X" or "two-degrees of group X"? The question becomes: "how much work on alternative topologies does it make sense to deploy in advance?" It seems like there are unknowns affecting both client and relay operations here, which suggests that advance deployment for either case is premature: we can't necessarily make either clients or relays "do the right thing" in advance given what we now know of the right thing.  <a id='SA.10'></a> ## Appendix Z: acknowledgments Thanks to Peter Palfrader for his original design in proposal 141, and to the designers of PIR-Tor, both of which inspired aspects of this Walking Onions design. Thanks to Chelsea Komlo, Sajin Sasy, and Ian Goldberg for feedback on an earlier version of this design. Thanks to David Goulet, Teor, and George Kadianakis for commentary on earlier versions of proposal 300. Thanks to Chelsea Komlo and Ian Goldberg for their help fleshing out so many ideas related to Walking Onions in their work on the design paper. Thanks to Teor for improvements to diff format, ideas about grouping exit ports, and numerous ideas about getting topology and distribution right. These specifications were supported by a grant from the Zcash Foundation.

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Moving key material out of the main tor process
by Linus Nordberg 03 Jun '20

03 Jun '20

Hi, tl;dr How to move key material out of tor? ## The idea of a vault component ahf and others in the network team have been discussing the possibility of a "vault" component in tor, for moving private keys out of the tor process. Separating secret key material from the code handling data from the network seems valuable and providing a component making different implementations "pluggable" would allow for anyone to use their favourite technology without touching the tor code base. Examples are local trusted execution environments like Intel SGX and Arm TrustZone and various HSM's and security keys/tokens. One way of implementing this would be to define a protocol, for a vault component to talk to a daemon running on the same host as tor, over some IPC mechanism. This protocol would allow tor to request a signature over a hash, or a document, in a certain key. Whether the daemon has access to the key material or has to forward the request to a separate device or hardware component is irrelevant to the protocol and the vault component. Even if the design focuses on signatures it should probably take encryption and decryption into account, to be added later. ## The vault as a possible match for TorHSM Such a vault component would fit well with a project where Peter Stuge and myself are building an HSM for Tor directory authority signing keys [0] based on the CrypTech design [1]. [0] https://trac.cryptech.is/wiki/ExternalProjectsTorHSM [1] https://cryptech.is/ One of the options for tor to delegate the signing of votes and consensuses to such a device would be to use a vault component as described above. We would then have a signing daemon responsible for the USB communication with the TorHSM device. Another option would be to build support directly into tor for communicating with the device, through a library capable of a USB vendor specific protocol defined by TorHSM. There are pros and cons with both options. I'd like to hear what the Tor developers community think would be best. ## Asynchronous signing API Vault or not, tor needs to change the way signing is done to be able to move key material out of the main process. First, external devices may need more time to perform a signature operation than what tor can accept to spend blocking in its main thread. Second, an external device might disappear or malfunction, requiring the possibility for an operation to time out. This can be implemented either with callbacks or with a state machine with more well defined state transitions. Maybe there are more options that I didn't think of. ## Protocol choice If we decide to go for the vault component with a separate daemon we should consider using the ssh-agent protocol for tor to talk to the daemon. Apart from being already defined there are multiple well tested implementations of this protocol. It also has a couple of features we might want, such as forgetting a certain key and locking/unlocking of the vault. Finally, it's extensible and should accommodate potential additions we might want to make later.

3 4

Towards Congestion Control Deployment in Tor-like Networks
by Mike Perry 02 Jun '20

02 Jun '20

This novelette-length mail is meant to provide the background information necessary to understand choices in congestion control deployment for Tor. Much of this background information won't be included in my planned Tor Proposal, which will hopefully be much shorter, but the choices made there will be informed by this material. This material has been enhanced through review and conversations with Toke Høiland-Jørgensen, g burdell, Rob Jansen, and George Kadianakis. Immense credit goes to Toke in particular, for detailed and thoughtful review, and input on queue management. Like my last mail on this topic, this mail comes with a playlist. Fair warning: it is not exactly easy listening. Still, hopefully it gives you strength and inspiration in these trying times: https://people.torproject.org/~mikeperry/borders/everybody-loves-them/TakeA… Section -I: Recap [RECAP] https://wizardzines.com/zines/networking I strongly believe that congestion control will provide the single largest performance win for the Tor network. Specifically, it will considerably improve both latency and throughput metrics in the best, average, and worst case. In addition to performance, congestion control will also provide the second-largest scalability win on our research horizon (behind Walking Onions), by making the queue length memory requirements of Tor relays independent of the number of circuits carried on that relay. I also believe we can achieve the vast majority of the benefits by deploying an RTT-based system that only clients and Exits need to support, specifically BOOTLEG_RTT_TOR. After this, we might consider more advanced options based on ECN, but their benefits are far less clear, and fraught with peril. This mail assumes that you have read "Options for Congestion Control in Tor-like Networks": https://lists.torproject.org/pipermail/tor-dev/2020-January/014140.html Even if you have already read the Options mail, I recommend reviewing the the SENDME section and the sections marked with TCP_HISTORY, BOOTLEG_RTT_TOR, BACKWARD_ECN_TOR, and perhaps also FORWARD_ECN_TOR, as understanding this mail requires an understanding of those sections. The summary of the other sections from the Options mail is basically this: adding ECN signals to Tor seems straight-forward, but is actually very tricky. Section @: Introduction and summary [INTRO_SUMMARY] Deep understanding of the congestion control problem space is essential because shitty congestion control will not be a huge win, and will reduce the benefit of other performance improvements. Worse still, it may introduce side channels and other anonymity attacks. In particular, our level of congestion latency (and associated relay queue lengths) will be very sensitive to congestion signal response time, to our congestion window update rules, and also to our choice of queue management algorithm (ie: which circuits send cells and/or congestion signals). Our average circuit bandwidth on the network will similarly be very sensitive to the ability of the congestion window to quickly update and converge on the available Bandwidth-Delay Product (BDP) of its path. In other words, we need to make good design choices in the following three different areas: I. Which congestion signal to use [CONGESTION_SIGNALS] II. How to update congestion window [CONTROL_ALGORITHMS] III. What circuits to send the signal on [QUEUE_MANAGEMENT] The next three sections of this mail correspond to those three areas. As before, I have tagged the specific sub-sections that will be used in the Tor Proposal with [PROPOSAL_CANDIDATE]. I have also given tags to section in this document. References to things in this document are enclosed in brackets. References to the Options mail are simply all caps, without brackets. The high-level plan is that we use RTT as a primary congestion signal, as per BOOTLEG_RTT_TOR from the Options mail, and try it out with a few different congestion algorithms, such as [TCP_VEGAS_TOR] and [TCP_WESTWOOD_TOR]. It turns out that when RTT is used as a congestion signal, our current Circuit-EWMA is sufficient to serve as [QUEUE_MANAGEMENT]. It also turns out that Circuit-EWMA actually should protect us from fairness issues in the control algorithms, and from cheaters who try to run different congestion control algorithms. Circuit-EWMA will also deliver RTT congestion signals more heavily to bulk circuits (because it prioritizes their cells below light circuits), causing them to back off in favor of lighter traffic, even as we relay fewer of their cells. Thanks goes to Toke Høiland-Jørgensen for pointing this out. The combination of RTT-based congestion signaling, a decent but simple control algorithm, and Circuit-EWMA will get us the most if not all of the benefits we seek, and only requires clients and Exits to upgrade to use it. Once it is deployed, circuit bandwidth caps will no longer be capped at ~500kb/sec by the fixed window sizes of SENDME; queue latency will fall significantly; memory requirements at relays should plummet; and bottlenecks in the network should dissipate. However, we can still improve upon this further, after this initial deployment. Because the "slow start" phase of TCP can take a long time, we will also want to play around with various initial window sizes, window growth rate parameters, and experiment with using a single BACKWARD_ECN_TOR cell_t.command ECN-style signal. This signal will be sent on circuits as determined by [CODEL_TOR]. An instance of [CODEL_TOR] can be added to each TLS connection, after Circuit-EWMA is applied. While BACKWARD_ECN_TOR is complex and slow to roll out (all relays must support this new cell_t.command), this optimization will likely be worth it because BACKWARD_ECN_TOR can send a signal on a circuit to stop the exponential growth of slow start in *less than* RTT/2 time, which is significantly faster than implicitly measuring an RTT-based signal (which takes RTT plus some measurement lag to act upon). This faster signal means faster termination of slow start, which means less buffer bloat. For stream flow control, on the client side, we should just ack all streams cells with a circuit-level SENDME even though they were not delivered to their blocked stream. The local Tor client should keep queuing them until the application reads them. Thus, a blocked client application stream will not block other streams, but will cause Tor client stream-level queues to build up. For exit-side streams, we should *not* send SENDMEs until the cell has been sent on its exiting upstream connection. This allows TCP pushback on one stream to block the entire circuit, but this is desirable to avoid queuing, and it will only happen in the upload direction. Section I: Selecting Congestion Signals [CONGESTION_SIGNALS] The "Options for Congestion Control in Tor-like Networks" mail probably should have been titled "Options for Congestion Signals in Tor-like Networks", as its primary focus was on the ways Tor endpoints can receive a signal about the congestion status of a circuit on bottleneck relays. In that post, I postponed discussion of queue management, and deliberately under-specified how to react to a congestion signal (going no further than saying "use SlowStart and AIMD"). I chose that scoping because the most difficult barrier we have faced in the past decade of work on this topic is the side channels enabled by a congestion signal (and information leaks in general). However, I should have made our constraints more explicit. Our choice of acceptable congestion signal mechanism is restricted by these design constraints: 1. No side channels between Guard and Exit, or between circuits 2. Incremental upgrade path 3. Fast response time 4. Cheater prevention These design constraints restrict our choice of congestion signal, but they are not our only design constraints in this problem space. When we get to the later sections on window control update algorithm, and queue management algorithm, I will explicitly enumerate additional design constraints there. Hopefully this will provide more clarity than the uncategorized list of "causes of death" in the Options post. For your convenience, here's the summary table of all the options for congestion signal again: ______________________________________________________________________ | MIX | CHEATING | RESPONSE| SIDE | UPGRADE | | TRACK | DETECTION | TIME | CHANNELS | PATH? | |~~~~~~~~~~~~~~~~~~~~~~|~~~~~~~~~~~|~~~~~~~~~|~~~~~~~~~~~~|~~~~~~~~~~| |BOOTLEG_RTT_TOR | Exit RTT |100c+RTT | RTT | Exits | |FORWARD_ECN_TOR | Circ OOM | RTT | None? | Full Net | |FORWARD_ECN_RTT_TOR | Exit RTT | RTT | RTT |Exits;Full| |BACKWARD_ECN_TOR |Middles;OOM| RTT/2 | Guard->Exit| Full Net | |BACKWARD_ECN_RTT_TOR |Middles;RTT|RTT/2;RTT| Guard->Exit|Exits;Full| |BACKWARD_ECN_TRAP_TOR | Middles | RTT/2 |Guard<->Exit| Full Net | |EDGE_FORWARD_ECN_TOR |Middles;OOM| 2*RTT/3 | None? | Full Net | |START_BACKWARD_ECN_TOR|Middles;OOM|RTT/2;RTT| Low/None? | Full Net | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ My short-term favorite is BOOTLEG_RTT_TOR, because it only requires Exit relay support to use. Recall that BOOTLEG_RTT_TOR defines an RTT latency threshold as its congestion signal, and was first described in section 4.1 of the N23 Defenestrator paper. Even though the N23 paper didn't bother to name this system, RTT use as a congestion signal in this way also resembles TCP Vegas, as we shall see. https://www.cypherpunks.ca/~iang/pubs/defenestrator.pdf Note that because Circuit-EWMA will add additional delay to loud circuits, "cheaters" who use alternate congestion control algorithms should end up with more delay than those who do not. This means that if we use RTT as a congestion signal, Circuit-EWMA should provide *more* RTT congestion signal to cheaters, and cheaters would only be punishing themselves with more Circuit-EWMA delay. So cheater resilience for an RTT signal is actually more well handled that I previously thought. Again, thanks goes to Toke Høiland-Jørgensen for pointing this out. For completeness, we will still explore some examples of alternate "cheating" control algorithms in Section II, though. Unfortunately, RTT is itself a side channel, as per: https://www.freehaven.net/anonbib/cache/ccs07-latency-leak.pdf https://www.robgjansen.com/publications/howlow-pets2013.pdf There is also literature on shaping circuit bandwidth to create a side channel. This can be done regardless of the use of congestion control, and is not an argument against using congestion control. In fact, the Backlit defense may be an argument in favor of endpoints monitoring circuit bandwidth and latency more closely, as a defense: https://www.freehaven.net/anonbib/cache/ndss09-rainbow.pdf https://www.freehaven.net/anonbib/cache/ndss11-swirl.pdf https://www.freehaven.net/anonbib/cache/acsac11-backlit.pdf Recall that BACKWARD_ECN_TOR used circuit-level cell_t.command to signal congestion. This allows all relays in the path to signal congestion in under RTT/2 in either direction, and it can be flipped on existing relay cells already in transit, without introducing any overhead. However, because cell_t.command is visible and malleable to all relays, it can also be used as a side channel. So we must limit its use to a couple of cells per circuit, at most. Recall that FORWARD_ECN_TOR adds encrypted end-to-end relay cells that explicitly signal congestion to either the client or the Exit, but requires the client to mediate and echo this cell to protect against side channels. Because congestion signals must be relayed off the client, it still takes the Exit a full RTT to learn about congestion at earlier nodes in the circuit. Additionally, because this cell itself must travel the full path in each direction, it is further delayed by congestion on the path, and it also adds yet more congestion to congested paths. Congestion in Exit to client direction is the most common, as this is the download direction. It will be particularly expensive and slow to bounce the congestion signal off the client to the Exit. For this reason, I think all forms of FORWARD_ECN_TOR are not likely to be as efficient as RTT signaling, despite the FORWARD_ECN_RTT_TOR variant initially being flagged as a PROPOSAL_CANDIDATE in the Options mail. However, we should still keep it in mind, since RTT may turn out to be an unreliable signal by itself. Therefore, since RTT is already measurable with our current SENDME flow control, I propose that we use it via BOOTLEG_RTT_TOR (or TCP Vegas), and then add START_BACKWARD_ECN_TOR only exactly once (to exit slow start). If RTT proves unreliable, then we can experiment with the more heavyweight FORWARD_ECN_TOR full-cell signal. As we shall see in the following control algorithm section, RTT-based systems like TCP Vegas largely avoid the need to send any congestion signal (drop or ECN). In other words: if we can rely on RTT, we should not need any explicit signals at all (though they would improve responsiveness). Section II: Congestion Window Control Algorithms [CONTROL_ALGORITHMS] Recall that the congestion window is the number of packets TCP will allow to be sent on a connection without any acknowledgment. The congestion window is meant to match the bandwidth-delay product of the connection as close as possible. The bandwidth-delay product can be thought of as the total amount of data that can be in-transit on a link at one time without using any queue memory (bytes per second of bandwidth multiplied by seconds of transit time delay = total bytes in transit on the wire at one time). On the Internet, if the congestion window exceeds the bandwidth-delay product of a transmission path, then packets must build up in router queues, and eventually get dropped. If the congestion window is below the bandwidth-delay product of the path, then all routers on the path spend time unused and idle, and thus utilization suffers, even if users are trying to use full bandwidth. TCP variants basically compete on their ability to collectively track the bandwidth-delay product of a path under a wider of a variety of network conditions and other competing traffic. In the interest of brevity, my "Options for Congestion Control in Tor-like Networks" mail suggested that we update the congestion window according to Slow Start with AIMD, in response to a congestion signal (or lack thereof). However, that is not the only option, and if we retain the ability to measure RTT, it may not even be the most efficient one. So to help us make this decision, I did a review of historical TCP and TCP-like systems in the research literature, and will present the highlights here. But first, let's define the control requirements that we want to satisfy: 1. Full bandwidth utilization of slowest TLS link in every circuit 2. Queue length minimization at the relay sending on this TLS link 3. Fairness between circuits (esp partially overlapping ones) 4. Rapid convergence to full circuit capacity These requirements mirror the requirements used in TCP evaluation. TCP implementations compete over metrics in each of these areas, and algorithm design is far more art than formally proved optimal or even correct. That does not mean that formalism is impossible, however. For a great formal breakdown of this design space without all of TCP's baggage, see Section 3 of the XCP paper. Note that we can't use XCP as-is because its congestion signal fields provide way too much information for use in potential side-channels, but it is worth a read because it clarifies the control theory behind congestion control: http://conferences.sigcomm.org/sigcomm/2002/papers/xcp.pdf In terms of how this design space is approached in TCP: utilization and queue minimization are typically handled simultaneously - sometimes explicitly and sometimes implicitly. Similarly, fairness is sometimes explicitly designed for, but more often fairness is an emergent property that is analyzed when competing against a benchmark (historically: TCP Reno). Fairness abuse is also an area where cheating can occur that enables cheaters to get more than their fair share of bandwidth, and such cheating can be very hard to detect and prevent on the Internet. Interestingly, many of the design goals of TCP are *also* improved via queue management algorithms at routers (Section III of this mail). In fact, our Circuit-EWMA circuit scheduler will effectively hand out RTT congestion signals (delay) to loud circuits before quiet ones, and will *also* enforce fairness and impede cheating, by delaying a cheater's cells even more. In this sense, we do not need to worry quite so much about fairness and cheating as security properties, but a lack of fairness at the TCP algorithm will *still* increase memory use in relays to queue these unfair/loud circuits. So we should still be mindful of these properties in selecting our congestion algorithm, to minimize relay memory use, if nothing else. For a good summary of several TCP congestion control algorithms, see: http://intronetworks.cs.luc.edu/1/html/reno.html ("Slow Start+AIMD") http://intronetworks.cs.luc.edu/1/html/newtcps.html (modern TCPs) As you can see, the TCP design space is huge. A good way to break down the TCP space is to separate the drop-based algorithms from the delay-based algorithms. TCP drop-based algorithms require either packet drops or ECN packet marking to signal congestion. Delay based algorithms infer congestion from RTT measurements only. But as we shall see, this distinction is artificial for us. BOOTLEG_RTT_TOR effectively converts delay *into* an explicit congestion signal, as far as congestion window control algorithms are concerned. Similarly, either of our ECN signals can be used in place of the drop signal in the algorithms below. I'm going to review four options that strike me as most relevant to our needs. Two are drop-based: TCP Reno, and TCP CUBIC. Two are delay-based: TCP Vegas, TCP Westwood. It should be noted that there are also hybrid algorithms that use drops/ECN in addition to delay as congestion signals, but since we are focusing on primarily using RTT only as our signal, I won't be covering them. For a good overview of those options, see: https://arxiv.org/pdf/1903.03852.pdf Toke Høiland-Jørgensen suggested that we also investigate BBR, which is a hybrid algorithm currently being evaluated by DropBox and Google. However, BBR involves packet send time scheduling, which will require replacement of Circuit-EWMA and other extensive changes. Furthermore, BBR is still under active development, experimentation, and tuning. In fact, while v2 has been tested by Dropbox, no IETF draft specification exists yet. Still, for completeness: https://tools.ietf.org/html/draft-cardwell-iccrg-bbr-congestion-control-00 https://queue.acm.org/detail.cfm?id=3022184 https://datatracker.ietf.org/doc/slides-106-iccrg-update-on-bbrv2/ https://dropbox.tech/infrastructure/evaluating-bbrv2-on-the-dropbox-edge-ne… I am also going to simplify and omit treatment of packet loss and duplicate acks, since we will not be dropping any packets. Additionally, I have normalized all formulas below to be in terms of Tor cells, rather than bytes. The hope is that these simplifications help us get to the essence of what these algorithms would look like when deployed on Tor, without getting distracted by irrelevant drop and ack synchronization management details from TCP/IP. However, as we move closer to specifying an actual design proposal, we should double-check my simplifications below, for the algorithm(s) that we actually specify. Section II.A: TCP Reno [TCP_RENO_TOR] https://tools.ietf.org/html/rfc5681 http://intronetworks.cs.luc.edu/1/html/reno.html Until recently, TCP Reno was the most popular TCP on the Internet, and it is still used as a fairness benchmark. While we won't be using it directly, it is thus important to understand. Like all TCPs, TCP Reno satisfies its utilization and queue minimization design goals by trying to make its congestion window closely match the bandwidth-delay product of the link. More importantly, when multiple TCP connections are present competing for the bandwidth of a link, TCP Reno fairly distributes the bandwidth-delay product of the link equally among all competing TCP Reno connections. http://pbg.cs.illinois.edu/courses/cs598fa09/slides/05-Ashish.pdf https://www.cse.wustl.edu/~jain/papers/ftp/cong_av.pdf TCP Reno probes the bandwidth-delay product by increasing its congestion window until it overflows the the queue capacity of the slowest router on a path, causing a packet drop or ECN signal, upon which TCP Reno reduces its congestion window. The initial phase of TCP Reno is called "Slow Start". For our purposes, Slow Start in TCP Reno means that every SENDME ack, the congestion window cwnd becomes: cwnd = cwnd + SENDME_RATE (recall Tor's SENDME_RATE is 100 cells) Because increasing the congestion window by 100 every SENDME allows the sender to send 100 *more* 512 byte cells every 100 cells, this is an exponential function that causes cwnd to double every cwnd cells. TCP Reno keeps on doubling until it experiences a congestion signal. Once a congestion signal is experienced, Slow Start is exited, and the Additive-Increase-Multiplicative-Decrease (AIMD) steady-state phase begins. AIMD algorithms can be generalized with two parameters: the add quantity, and the multiply quantity. This is written as AIMD(a,m). TCP Reno uses AIMD(1, 0.5). It should be noted that most later TCP's include an AIMD component of some kind, but tend to use 0.7 for m instead of 0.5. This allows them to recover faster from congestion. After slow start exits, in steady-state, after every ack (SENDME) response without a congestion signal, the window is updated as: cwnd = cwnd + SENDME_RATE/cwnd This comes out to increasing cwnd by 1, every time cwnd cells are successfully sent without a congestion signal occurring. Thus this is additive linear growth, not exponential growth. If there was a congestion signal, cwnd is updated as: cwnd = cwnd * m (m=0.5 or 0.7) This is called "Fast Recovery". If you dig into the RFCs, actual TCP Reno has some additional details for responding to multiple packet losses that in some cases can fall back into slow-start. However, for our purposes, the congestion window should only be updated once per cwnd cells, in either the congestion case, or the non-congestion case. TCP Reno (and all TCPs) also revert to slow start when the connection has been idle, in case bottleneck capacity has changed in this time. We may or may not want to do this, as slow start has a dramatic impact on page load times. TCP Reno is still used as the benchmark to determine fairness. If an algorithm is "TCP Friendly", this basically means that when competing with TCP Reno to use spare path capacity, it does not get its ass kicked, and it does not kick Reno's ass. Several algorithms contain hacks or special cases to preserve this property. If this fairness property holds, a bunch of math can prove convergence rates, utilization, congestion window sizes, and even queue sizes. Modern queue management also relies on this math to auto-tune queue parameters, as we will see in Section III. http://pbg.cs.illinois.edu/courses/cs598fa09/slides/05-Ashish.pdf https://www.icir.org/tfrc/aimd.pdf Section II.B: TCP Cubic [TCP_CUBIC_TOR] http://intronetworks.cs.luc.edu/1/html/newtcps.html#tcp-cubic https://pandorafms.com/blog/tcp-congestion-control/ https://tools.ietf.org/html/rfc8312 TCP Reno unfortunately does not perform optimally for networks where the natural packet loss rate starts to become frequent, which happens for both high bandwidth and high latency networks. This shortcoming has lead to a huge explosion of competition among replacements and improvements for this use case, and TCP Cubic has won out (for now). TCP Cubic basically takes TCP Reno and tweaks the additive portion of AIMD behavior to be a cubic function (y=x^3) instead of linearly additive. The cubic function was chosen because it is concave, then flat, and then convex. The concave piece allows for quickly recovering after congestion (or non-congestion-related packet loss), and the convex piece allows for gently probing for fresh spare link capacity. Because of adoption by both the Linux kernel and the Windows kernel as the default TCP, TCP Cubic is now the most popular TCP on the Internet. Unfortunately, TCP Cubic is complicated. It has multiple magic numbers, and is defined piece wise depending on how its congestion window would compare to the equivalent TCP Reno window (to ensure the "TCP Friendly" property -- without this hack, TCP Cubic is "too polite" and TCP Reno eats its lunch). It additionally has time-based components that must be clocked relative to current measured RTT (though it does not use RTT as a congestion signal). The cubic congestion window is defined as: W_max = previous window size before last congestion signal W_cubic(t) = C*(t-K)^3 + W_max With magic number constants: C = 0.4 beta_cubic = 0.7 K = cubic_root(W_max*(1-beta_cubic)/C) To maintain competitiveness with TCP Reno, Cubic keeps a running estimate of an equivalent TCP Reno's window size, using the AIMD math cited for Reno above: W_est(t) = W_max*beta_cubic + [3*(1-beta_cubic)/(1+beta_cubic)] * (t/RTT) if W_est(t) > W_cubic(t): cwnd = W_est(t) else: cwnd = cwnd + (W_cubic(t+RTT) - cwnd)/cwnd Upon congestion signal, Cubic uses its beta_cubic parameter (0.7), and thus does not back off quite as far as Reno: W_max = cwnd cwnd = cwnd * beta_cubic It is pretty easy to convince yourself that Cubic will do as least as well as TCP Reno (thanks to the AIMD Reno window comparison hack), but it is very hard to conceptualize the above and convince yourself that it is the best we could possibly do for our use case. Especially since Tor is *not* affected by an increasing inherent drop rate as bandwidth increases, unlike the Internet. For these reasons, the complexity of TCP Cubic does not strike me as worthwhile, as compared to other, simpler candidates. Section II.C: TCP Vegas and [TCP_VEGAS_TOR] [PROPOSAL_CANDIDATE] http://pages.cs.wisc.edu/~akella/CS740/F08/740-Papers/BOP94.pdf ftp://ftp.cs.princeton.edu/techreports/2000/628.pdf (lol ftp, sorry) Similar to BOOTLEG_RTT_TOR from my Options mail, TCP Vegas was designed to make use of RTT and bandwidth estimation to avoid queue congestion, and thus avoid any dropped packets or ECN signals. However, TCP Vegas actually directly estimates queue length of the bottleneck router, and aims to minimize the packets in that queue. To accomplish this, TCP Vegas maintains two RTT measurements: RTT_current and RTT_min. It also maintains a bandwidth estimate. The bandwidth estimate is the current congestion window size divided by the RTT estimate: BWE = cwnd/RTT_current (Note: In later TCP Vegas relatives like TCP Westwood, this bandwidth estimate was improved to use an explicit count of the unacked packets in transit, instead of cwnd). Recall that in order to utilize the full capacity of the link, all TCPs attempt to maintain its congestion window as close to the bandwidth-delay product (ie: the "memory capacity") of the transmission path as possible. The extra queue use along a path can thus be estimated by first estimating the path's bandwidth-delay product: BDP = BWE*RTT_min TCP Vegas then estimates the queue use caused by congestion as: queue_use = cwnd - BDP = cwnd - cwnd*RTT_min/RTT_current = cwnd * (1 - RTT_min/RTT_current) If queue_use drops below a threshold alpha (typically 2-3 packets for TCP, but perhaps double or triple that for our smaller cells), then the congestion window is increased. If queue_use exceeds a threshold beta (typically 4-6 packets, but again we should probably double or triple this), then the congestion window is decreased. This update happens only once per cwnd packets: if queue_use < alpha: cwnd = cwnd + 1 elif queue_use > beta: cwnd = cwnd - 1 As a backstop, TCP Vegas still will half its congestion window in the event that a congestion signal (packet drop or ECN) still occurs. However, such packet drops should not actually even happen, unless Vegas is fighting with a less fair control algorithm that is causing drops instead of backing off based on queue delay. Vegas also uses this queue_use estimate to govern its initial slow start behavior. During slow start, the Vegas congestion window grows exponentially, but only half as fast as Reno (to avoid excessive congestion). For us, this means that cwnd is updated every SENDME ack by: if queue_use < gamma: cwnd = cwnd + SENDME_RATE/2 This exponential increase continues until the queue_use estimate exceeds "gamma" (which is determined experimentally and sadly not listed in the TCP Vegas paper). If I had to guess, gamma is probably close to beta (4-6 packets). Because Vegas tries much harder to avoid congestion than TCP Reno, Vegas is vulnerable to cheating through fairness abuse. When TCP Vegas competes against a TCP Reno-style TCP that responds only to packet drops (or ECN signals in our case) and ignores RTT, TCP Vegas detects congestion earlier than TCP Reno would, and ends up yielding bandwidth to TCP Reno. This means that Vegas does *not* have the "TCP Friendly" property that modern AQM algorithms depend on for their parameterization. Note that we should expect the same thing to happen if TCP Vegas competed with BOOTLEG_RTT_TOR algorithm run by cheaters. However, since RTT is being used as the congestion signal in both cases, Circuit-EWMA should still balance this out, but we should experiment with this to confirm. There may still be additional queuing memory costs in the presence of cheaters, compared to either pure [TCP_VEGAS_TOR] or pure BOOTLEG_RTT_TOR. Even so: this form of cheating is also pretty easy for honest Exit nodes to detect, and cheating clients only get benefit in the upload direction, even if they did cheat. To see this a bit more concretely, if we sub in TCP Reno in BOOTLEG_RTT_TOR, during slow start we have: T=(1−a)*rtt_min+a*rtt_max If rtt < T: cwnd = cwnd + SENDME else: exit slow start And then for steady state: If rtt < T: cwnd = cwnd + SENDME_RATE/cwnd else: cwnd = cwnd * 0.5 The 'a' parameter from BOOTLEG_RTT_TOR is operating similarly to the queue_len criterion of [TCP_VEGAS_TOR], but the window update rules are [TCP_RENO_TOR], which are more aggressive than TCP Vegas. So effectively, this is still [TCP_VEGAS_TOR] with a different target condition for queue_len. This means we could expect BOOTLEG_RTT_TOR to drive the congestion to some higher rate of queue use than [TCP_VEGAS_TOR], and senders who use it may out-compete Vegas much like TCP Reno out-competes Vegas, until Circuit-EWMA starts punishing them (at the expense of more queue memory waste). This also shows us a crucial testing consideration: [TCP_VEGAS_TOR] may not compete well with our current SENDME congestion control, since it's ability to set queue_target may cause it to de-prioritize itself below competing SENDME flows. BOOTLEG_RTT_TOR, on the other hand, will allow us to set its 'a' parameter at whatever point makes it competitive with SENDME. For this reason, BOOTLEG_RTT_TOR may yield better performance characteristics until all clients upgrade. Section II.D: TCP Westwood [TCP_WESTWOOD_TOR] [PROPOSAL_CANDIDATE] https://tools.ietf.org/html/rfc8290#section-4.1 http://intronetworks.cs.luc.edu/1/html/newtcps.html#tcp-westwood TCP Westwood is essentially TCP Reno, but if the current BDP estimate is greater than half the current congestion window, TCP Westwood uses that instead of halving the congestion window, during a congestion signal. In other words, upon a congestion signal, TCP Westood does: cwnd = max(cwnd * 0.5, BDP_estimate) This has the effect of recovering from congestion events much quicker than TCP Reno, and thus utilizing more of the path capacity. Westwood+ also has some improvements on TCP Vegas's BDP_estimate in order to smooth it in the presence of delayed and/or dropped acks: BWE_k = a*BWE_k-1 + (1−a)*BWM_k We may not need this smoothing as much, because we do not have any dropped acks, and dropped acks were far more damaging to TCP Vegas than slightly delayed acks. Section III: Queue Management Algorithms [QUEUE_MANAGEMENT] On the Internet, Queue Management Algorithms are used by routers to decide how long their queues should be, which packets they should drop and when, and which connections to send ECN signals on and when. Queue management is almost as large of a research area as congestion control. Thanks to bittorrent and video streaming, queue management also grew to consider fairness or QoS between flows. This is done by separating queues or imposing a scheduling algorithm on packet ordering. For an excellent overview of fairness vs queue management, see RFC 7806: https://tools.ietf.org/html/rfc7806 Since Tor relays cannot drop packets, our design goals are slightly different than Internet queue management. We care about the following design goals: 1. Prioritize well-behaved/light circuits over loud/heavy ones 2. Decide when to send ECN signals 3 Decide which circuits to send ECN signals on 4. Detect which circuits are queuing too much (or otherwise cheating) Recall that Tor has already deployed Circuit-EWMA in order to meet goal #1. Circuit-EWMA tries to give priority to less loud circuits in the circuit scheduler, so that interactive applications experience less latency than bulk transfers. https://www.cypherpunks.ca/~iang/pubs/ewma-ccs.pdf Circuit-EWMA can be viewed as a fairness algorithm as per RFC 7806 Section 2, since it schedules flows independently with the target fairness property of prioritizing quiet circuits cells over loud ones. When Circuit-EWMA is used in combination with RTT as a congestion signal, it is effectively *also* a marking algorithm. This is because it *also* distributes RTT congestion signals more frequently to loud circuit: https://tools.ietf.org/html/rfc7806#section-2 https://tools.ietf.org/html/rfc7806#section-3 Recall that Tor also had to deploy KIST, to move queues from the Linux kernel into Tor, for Circuit-EWMA to properly prioritize them. See Section 4 and 5 of the full-length KIST paper for details on this interaction, and see page 5 for a good graphical depiction of all the queuing points in Tor and the Kernel: https://matt.traudt.xyz/static/papers/kist-tops2018.pdf It is likely the case that Circuit-EWMA and KIST are all we need if we only use RTT signaling. But if we add in ECN, at minimum we will need to update Circuit-EWMA to inform us which circuit(s) to send ECN signals on. In fact, thanks to RFC7806's distinction between fairness and management, modern Internet queue management algorithms compose well with Circuit-EWMA, allowing us to still use Circuit-EWMA for the fairness portion, but use an existing Internet algorithm for the ECN marking. So it is useful to review Internet history here, as well as current state-of-the-art. On the Internet, queue management algorithms arose fairly early for one primary reason: early routers performed what is called "tail dropping". Tail dropping means that routers allowed their queues to get full, and then started dropping all packets that arrived while queue remained full. This has all kinds of negative consequences, but the easiest to intuitively understand is that if you wait until your queue is full before you start dropping packets, and then drop all of the packets that arrive from then on, competing TCP connections will all back off at the same time, leading to lulls in network utilization. The key innovation to address tail dropping was to randomly drop (or ECN mark) packets early, before the queue was full, with a per-packet drop probability. This probability was computed based on many factors of the link, and sometimes based on individual TCP connection tracking. Until very recently, both queue management and fair queuing algorithms tended to have many knobs that must be tuned for specific kinds of links and load levels. The Internet seems to be converging on three main contenders for "knobless" queue management: PIE, ARED, and CoDel. Here's some recent review material: http://content.ikr.uni-stuttgart.de/Content/Publications/Archive/Wa_EUNICE_… https://datatracker.ietf.org/meeting/88/materials/slides-88-iccrg-4/ However, be aware that these knobless systems make assumptions about the congestion control algorithms and the latency of the connections that may not apply to us. The assumptions are most clearly specified in Section 3.2 of the CoDel RFC, and are closely related to the "TCP Fairness vs TCP Reno" assumption from our congestion control review: https://tools.ietf.org/html/rfc8289#section-3.2 Ok, so let's review the top "knobless" contenders. Section III.A: PIE and ARED [ARED_PIE_TOR] https://tools.ietf.org/html/rfc8033 http://www.icir.org/floyd/papers/adaptiveRed.pdf As a quick summary, both PIE and ARED manage their queues by dropping packets probabalistically. In both systems, the per-packet drop probability is updated in proportion to average queue transit time -- longer queues mean the drop probability is increased. Both systems decide to drop individual packets from the queue in using this probability. This has the effect that louder flows (with more packets) are also more likely to experience drops (or ECN congestion marking). But otherwise they have no explicit notion of fairness. This makes them marking algorithms as per RFC7806's classification. If explicit QoS or fairness is desired, they have to be deployed in combination with a fairness algorithm to prioritize between separate queues, again as per RFC 7806 Section 3.3: https://tools.ietf.org/html/rfc7806#section-3.3 Recall that Tor has multiple levels of queues: Circuit, TLS connections, and kernel buffers, as per Figure 1 on page 5 in the KIST paper: https://matt.traudt.xyz/static/papers/kist-tops2018.pdf Even if we keep Circuit-EWMA for scheduling (and thus fairness), we can still add in PIE or ARED per each TLS connection. If the average total queue length for all circuits on a TLS connection grows beyond the marking threshold for PIE/ARED, we could then begin sending congestion signals on circuits, as they send cells, as per the cell drop probability of these algorithms. However, because we only want to send one BACKWARD_ECN_TOR signal per circuit, we will have to save these signals for circuits that have not yet gotten one. It is an open question how we should manage the mark probability if we have to pass over a circuit because we already sent a backward ECN signal on it. Section III.B: CoDel and FQ_CoDel [CODEL_TOR] [PROPOSAL_CANDIDATE] https://queue.acm.org/detail.cfm?id=2209336 https://tools.ietf.org/html/rfc8289 https://tools.ietf.org/html/rfc8290 CoDel is a relatively recent algorithm that is gaining traction because of its simple elegance. Like PIE and ARED, CoDel itself is a marking algorithm, and can be combined with any fairness/QoS algorithm. It also comes with its own fairness algorithm, called FQ_CoDel. https://tools.ietf.org/html/rfc7806#section-3.2 Despite being touted as parameterless, CoDel does have two parameters: inspection_interval <- set above max RTT (but not too high) min_queue_target <- set to 5% of min RTT CoDel tags packets with timestamps as soon as they enter the queue. Every inspection_interval, it examines the queue to see if any packets have waited longer than target_delay. If they have, it begins dropping packets (sending ECN signals in our case). Because CoDel is accurately tracking the time *each* packet spends in the queue, it is able to differentiate between "good" queues (not congested), vs "bad" queues (congested), on a packet-by-packet basis. This good vs bad distinction is determined by comparing the packet transit time to min_queue_target. If a packet exceeds this transit time, then the queue is bad, and the packet must be dropped or ECN marked. It is this per-packet distinction that significantly separates CoDel from PIE and ARED, which both use average queue times. This was the source of some controversy, as per-packet timestamping was initially argued to be too expensive. But on modern commodity hardware, this per-packet timestamping is actually incredibly efficient. It also allows CoDel to converge on the min_queue_target very rapidly, with high link utilization. However, it would seem that because we can't drop packets, sojourn times will *not* decrease down to min_queue_target immediately upon congestion for Tor. We will have to wait for the actual backoff signal to propagate (1 RTT) before the queue size changes due to backoff. According to Toke Høiland-Jørgensen (one of the FQ_CoDel spec authors), this should not be that significant, but it should be tested. FQ_CoDel extends CoDel to provide fairness in a very similar way as Circuit-EWMA does, by separating out TCP connections into "generated a queue recently" and "did not generate a queue recently". This allows packets from flows that are not causing congestion to be sent more quickly than flows that are. This also has the side effect that when connections build long FQ queues, their packets spend more time in queues, and have an increased probability of being ECN marked or dropped. https://ieeexplore.ieee.org/document/8469111 Like CoDel, FQ_CoDel relies on the assumption that it can drop a lot of packets at once to correct queue sizes instantly: https://tools.ietf.org/html/rfc8290#section-4.1 This makes me think we should not rush to replace Circuit-EWMA with FQ_CoDel, but we may get benefit from doing CoDel on a per-TLS connection basis, just as is described for PIE and ARED above. In this case, it is more clear which circuits to ECN mark. Whenever a cell has a Circuit-EWMA circuitmux queue transit time longer than the target queue time threshold (min_queue_target), that circuit gets an ECN mark. If it has already been ECN marked, no biggie. In other words: The decision to ECN mark circuits is completely dependent only on how long their cells traverse our queues, and does not require any capacity estimates or other measurements. Very clean. So if we decide we want to try ECN, I think Circuit-EWMA with CoDel is a smart first choice. We would then use CoDel to deliver exactly one BACKWARD_ECN_TOR signal when it detects a circuit's queues are too long. This RTT/2 signal should cause the circuit to exit slow start more quickly than RTT measurement by endpoints will. Section IV: Next Steps [NEXT_STEPS] After this extended review, I am convinced that an RTT-based approach can provide a comprehensive solution to all of our design requirements, and can be enhanced based on experimentation and further additions. Such an approach also only requires clients and Exits (or just clients and onion services) to upgrade to initially deploy. However, we can still improve on this with a few enhancements. In particular, we can compare [TCP_VEGAS_TOR] to [TCP_WESTWOOD_TOR] to BOOTLEG_RTT_TOR, and see how they perform in competition with each other, and in competition with Tor's currently fixed-size SENDME windows. We can also implement CoDel in circuitmux to track transit times and determine which circuits to send a single BACKWARD_ECN_TOR signal, to exit slow start on circuits more quickly, and we can play around with higher initial window sizes. We can do this experimentation first in Shadow, and also on the live network via consensus parameters. The immediate next steps here are to create a proper Tor Proposal from the sections tagged [PROPOSAL_CANDIDATE] above. -- Mike Perry

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Proposal XXX: FlashFlow: A Secure Speed Test for Tor (Parent Proposal)
by Matt Traudt 02 Jun '20

02 Jun '20

Filename: xxx-flashflow.txt Title: FlashFlow: A Secure Speed Test for Tor (Parent Proposal) Author: Matthew Traudt, Aaron Johnson, Rob Jansen, Mike Perry Created: 23 April 2020 Status: Draft 1. Introduction FlashFlow is a new distributed bandwidth measurement system for Tor that consists of a single authority node ("coordinator") instructing one or more measurement nodes ("measurers") when and how to measure Tor relays. A measurement consists of the following steps: 1. The measurement nodes demonstrate to the target relay permission to perform measurements. 2. The measurement nodes open many TCP connections to the target relay and create a one-hop circuit to the target relay on each one. 3. For 30 seconds the measurement nodes send measurement cells to the target relay and verify that the cells echoed back match the ones sent. During this time the relay caps the amount of background traffic it transfers. Background and measurement traffic are handled separately at the relay. Measurement traffic counts towards all the standard existing relay statistics. 4. For every second during the measurement, the measurement nodes report to the authority node how much traffic was echoed back. The target relay also reports the amount of per-second background (non-measurement) traffic. 5. The authority node sums the per-second reported throughputs into 30 sums (one for each second) and calculates the median. This is the estimated capacity of the relay. FlashFlow performs a measurement of every relay according to a schedule described later in this document. Periodically it produces relay capacity estimates in the form of a v3bw file, which is suitable for direct consumption by a Tor directory authority. Alternatively an existing load balancing system such as Simple Bandwidth Scanner could be modified to use FlashFlow's v3bw file as input. It is envisioned that each directory authority that wants to use FlashFlow will run their own FlashFlow deployment consisting of a coordinator that they run and one or more measurers that they trust (e.g. because they run them themselves), similar to how each runs their own Torflow/sbws. Section 5.2 of this proposal describes long term plans involving multiple FlashFlow deployments. FlashFlow is more performant than Torflow: FlashFlow takes 5 hours to measure the entire existing Tor network from scratch (with 3 Gbit/s measurer capacity) while Torflow takes 2 days; FlashFlow measures relays it hasn't seen recently as soon as it learns about them (i.e. every new consensus) while Torflow can take a day or more; and FlashFlow accurately measures new high-capacity relays the first time and every time while Torflow takes days/weeks to assign them their full fair share of bandwidth (especially for non-exits). FlashFlow is more secure than Torflow: FlashFlow allows a relay to inflate its measured capacity by up to 1.33x (configured by a parameter) while Torflow allows weight inflation by a factor of 89x [0] or even 177x [1]. After an overview in section 2 of the planned deployment stages, section 3, 4, and 5 discuss the short, medium, and long term deployment plans in more detail. 2. Deployment Stages FlashFlow's deployment shall be broken up into three stages. In the short term we will implement a working FlashFlow measurement system. This requires code changes in little-t tor and an external FlashFlow codebase. The majority of the implementation work will be done in the short term, and the product is a complete FlashFlow measurement system. Remaining pieces (e.g. better authentication) are added later for enhanced security and network performance. In the medium term we will begin collecting data with a FlashFlow deployment. The intermediate results and v3bw files produced will be made available (semi?) publicly for study. In the long term experiments will be performed to study ways of using FF v3bw files to improve load balancing. Two examples: (1) using FF v3bw files instead of sbws's (and eventually phasing out torflow/sbws), and (2) continuing to run sbws but use FF's results as a better estimate of relay capacity than observed bandwidth. Authentication and other FlashFlow features necessary to make it completely ready for full production deployment will be worked on during this long term phase. 3. FlashFlow measurement system: Short term The core measurement mechanics will be implemented in little-t tor, but a separate codebase for the FlashFlow side of the measurement system will also be created. This section is divided into three parts: first a discussion of changes/additions that logically reside entirely within tor (essentially: relay-side modifications), second a discussion of the separate FlashFlow code that also requires some amount of tor changes (essentially: measurer-side and coordinator-side modifications), and third a security discussion. 3.1 Little-T Tor Components The primary additions/changes that entirely reside within tor on the relay side: - New torrc options/consensus parameters. - New cell commands. - Pre-measurement handshaking (with a simplified authentication scheme). - Measurement mode, during which the relay will echo traffic with measurers, set a cap on the amount of background traffic it transfers, and report the amount of transferred background traffic. 3.1.1 Parameters FlashFlow will require some consensus parameters/torrc options. Each has some default value if nothing is specified; the consensus parameter overrides this default value; the torrc option overrides both. FFMeasurementsAllowed: A global toggle on whether or not to allow measurements. Even if all other settings would allow a measurement, if this is turned off, then no measurement is allowed. Possible values: 0, 1. Default: 0 (disallowed). FFAllowedCoordinators: The list of coordinator TLS certificate fingerprints that are allowed to start measurements. Relays check their torrc when they receive a connection from a FlashFlow coordinator to see if it's on the list. If they have no list, they check the consensus parameter. If nether exist, then no FlashFlow deployment is allowed to measure this relay. Default: empty list. FFMeasurementPeriod: A relay should expect on average, to be measured by each FlashFlow deployment once each measurement period. A relay will not allow itself to be measured more than twice by a FlashFlow deployment in any time window of this length. Relays should not change this option unless they really know what they're doing. Changing it at the relay will not change how often FlashFlow will attempt to measure the relay. Possible values are in the range [1 hour, 1 month] inclusive. Default: 1 day. FFBackgroundTrafficPercent: The maximum amount of regular non-measurement traffic a relay should handle while being measured, as a percent of total traffic (measurement + non-measurement). This parameter is a trade off between having to limit background traffic and limiting how much a relay can inflate its result by handling no background traffic but reporting that it has done so. Possible values are in the range [0, 99] inclusive. Default: 25 (a maximum inflation factor of 1.33). FFMaxMeasurementDuration: The maximum amount of time, in seconds, that is allowed to pass from the moment the relay is notified that a measurement will begin soon and the end of the measurement. If this amount of time passes, the relay shall close all measurement connections and exit its measurement mode. Note this duration includes handshake time, thus it necessarily is larger than the expected actual measurement duration. Possible values are in the range [10, 120] inclusive. Default: 45. 3.1.2 New Cell Types FlashFlow will introduce a new cell command MEASURE. The payload of each MEASURE cell consists of: Measure command [1 byte] Length [2 bytes] Data [Length-3 bytes] The measure commands are: 0 -- MSM_PARAMS [forward] 1 -- MSM_PARAMS_OK [backward] 2 -- MSM_ECHO [forward and backward] 3 -- MSM_BG [backward] 4 -- MSM_ERR [forward and backward] Forward cells are sent from the measurer/coordinator to the relay. Backward cells are sent from the relay to the measurer/coordinator. MSM_PARAMS and MSM_PARAMS_OK are used during the pre-measurement stage to tell the target what to expect and for the relay to positively acknowledge the message. MSM_ECHO cells are the measurement traffic; the measurer generates them, sends them to the target, and the target echos them back. The target send a MSM_BG cell once per second to report the amount of background traffic it is handling. MSM_ERR cells are used to signal to the other party that there has been some sort of problem and that the measurement should be aborted. These measure commands are described in more detail in the next section. The only cell that sometimes undergoes cell encryption is MSM_ECHO; no other cell ever gets cell encrypted. (All cells are transmitted on a regular TLS-wrapped OR connection; that encryption still exists.) The relay "decrypts" MSM_ECHO cells before sending them back to the measurer; this mirrors the way relays decrypt/encrypt RELAY_DATA cells in order to induce realistic cryptographic CPU load. The measurer usually skips encrypting MSM_ECHO cells to reduce its own CPU load; however, to verify the relay is actually correctly decrypting all cells, the measurer will choose random outgoing cells, encrypt them, remember the ciphertext, and verify the corresponding incoming cell matches. 3.1.3 Pre-Measurement Handshaking/Starting a Measurement The coordinator connects to the target relay and sends it a MSM_PARAMS cell. If the target is unwilling to be measured at this time or if the coordinator didn't use a TLS certificate that the target trusts, it responds with an error cell and closes the connection. Otherwise it checks that the parameters of the measurement are acceptable (e.g. the version is acceptable, the duration isn't too long, etc.). If the target is happy, it sends a MSM_PARAMS_OK, otherwise it sends a MSM_ERR and closes the connection. Upon learning the IP addresses of the measurers from the coordinator in the MSM_PARAMS cell, the target whitelists their IPs in its DoS detection subsystem until the measurement ends (successfully or otherwise), at which point the whitelist is cleared. Upon receiving a MSM_PARAMS_OK from the target, the coordinator will instruct the measurers to open their TCP connections with the target. If the coordinator or any measurer receives a MSM_ERR, it reports the error to the coordinator and considers the measurement a failure. It is also a failure if any measurer is unable to open at least half of its TCP connections with the target. The payload of MSM_PARAMS cells [XXX more may need to be added]: - version [1 byte] - msm_duration [1 byte] - num_measurers [1 byte] - measurer_info [num_measurers times] - ipv4_addr [4 bytes] - num_conns [2 bytes] version dictates how this MSM_PARAMS cell shall be parsed. msm_duration is the duration, in seconds, that the actual measurement will last. num_measurers is how many measurer_info structs follow. For each measurer, the ipv4_addr it will use when connecting to the target is provided, as is num_conns, the number of TCP connections that measurer will open with the target. Future versions of FlashFlow and MSM_PARAMS will use TLS certificates instead of IP addresses. MSM_PARAMS_OK has no payload: it's just padding bytes to make the cell 514 bytes long. The payload of MSM_ECHO cells: - arbitrary bytes [max to fill up 514 byte cell] The payload of MSM_BG cells: - second [1 byte] - sent_bg_bytes [4 bytes] - recv_bg_bytes [4 bytes] second is the number of seconds since the measurement began. MSM_BG cells are sent once per second from the relay to the FlashFlow coordinator. The first cell will have this set to 1, and each subsequent cell will increment it by one. sent_bg_bytes is the number of background traffic bytes sent in the last second (since the last MSM_BG cell). recv_bg_bytes is the same but for received bytes. The payload of MSM_ERR cells: - err_code [1 byte] - err_str [possibly zero-len null-terminated string] The error code is one of: [... XXX TODO ...] 255 -- OTHER The error string is optional in all cases. It isn't present if the first byte of err_str is null, otherwise it is present. It ends at the first null byte or the end of the cell, whichever comes first. 3.1.4 Measurement Mode The relay considers the measurement to have started the moment it receives the first MSM_ECHO cell from any measurer. At this point, the relay - Starts a repeating 1s timer on which it will report the amount of background traffic to the coordinator over the coordinator's connection. - Enters "measurement mode" and limits the amount of background traffic it handles according to the torrc option/consensus parameter. The relay decrypts and echos back all MSM_ECHO cells it receives on measurement connections until it has reported its amount of background traffic the same number of times as there are seconds in the measurement (e.g. 30 per-second reports for a 30 second measurement). After sending the last MSM_BG cell, the relay drops all buffered MSM_ECHO cells, closes all measurement connections, and exits measurement mode. During the measurement the relay targets a ratio of background traffic to measurement traffic as specified by a consensus parameter/torrc option. For a given ratio r, if the relay has handled x cells of measurement traffic recently, Tor then limits itself to y = xr/(1-r) cells of non-measurement traffic this scheduling round. The target will enforce that a minimum of 10 Mbit/s of measurement traffic is recorded since the last background traffic scheduling round to ensure it always allows some minimum amount of background traffic. 3.2 FlashFlow Components The FF coordinator and measurer code will reside in a FlashFlow repository separate from little-t tor. There are three notable parameters for which a FF deployment must choose values. They are: - The number of sockets, s, the measurers should open, in aggregate, with the target relay. We suggest s=160 based on the FF paper. - The bandwidth multiplier, m. Given an existing capacity estimate for a relay, z, the coordinator will instruct the measurers to, in aggregate, send m*z Mbit/s to the target relay. We recommend m=2.25. - The measurement duration, d. Based on the FF paper, we recommend d=30 seconds. The rest of this section first discusses notable functions of the FlashFlow coordinator, then goes on to discuss FF measurer code that will require supporting tor code. 3.2.1 FlashFlow Coordinator The coordinator is responsible for scheduling measurements, aggregating results, and producing v3bw files. It needs continuous access to new consensus files, which it can obtain by running an accompanying Tor process in client mode. The coordinator has the following functions, which will be described in this section: - result aggregation. - schedule measurements. - v3bw file generation. 3.2.1.1 Aggregating Results Every second during a measurement, the measurers send the amount of verified measurement traffic they have received back from the relay. Additionally, the relay sends a MSM_BG cell each second to the coordinator with amount of non-measurement background traffic it is sending and receiving. For each second's reports, the coordinator sums the measurer's reports. The coordinator takes the minimum of the relay's reported sent and received background traffic. If, when compared to the measurer's reports for this second, the relay's claimed background traffic is more than what's allowed by the background/measurement traffic ratio, then the coordinator further clamps the relay's report down. The coordinator adds this final adjusted amount of background traffic to the sum of the measurer's reports. Once the coordinator has done the above for each second in the measurement (e.g. 30 times for a 30 second measurement), the coordinator takes the median of the 30 per-second throughputs and records it as the estimated capacity of the target relay. 3.2.1.2 Measurement Schedule The short term implementation of measurement scheduling will be simpler than the long term one due to (1) there only being one FlashFlow deployment, and (2) there being very few relays that support being measured by FlashFlow. In fact the FF coordinator will maintain a list of the relays that have updated to support being measured and have opted in to being measured, and it will only measure them. The coordinator divides time into a series of 24 hour periods, commonly referred to as days. Each period has measurement slots that are longer than a measurement lasts (30s), say 60s, to account for pre- and post-measurement work. Thus with 60s slots there's 1,440 slots in a day. At the start of each day the coordinator considers the list of relays that have opted in to being measured. From this list of relays, it repeatedly takes the relay with the largest existing capacity estimate. It selects a random slot. If the slot has existing relays assigned to it, the coordinator makes sure there is enough additional measurer capacity to handle this relay. If so, it assigns this relay to this slot. If not, it keeps picking new random slots until one has sufficient additional measurer capacity. Relays without existing capacity estimates are assumed to have the 75th percentile capacity of the current network. If a relay is not online when it's scheduled to be measured, it doesn't get measured that day. 3.2.1.2.1 Example Assume the FF deployment has 1 Gbit/s of measurer capacity. Assume the chosen multiplier m=2. Assume there are only 5 slots in a measurement period. Consider a set of relays with the following existing capacity estimates and that have opted in to being measured by FlashFlow. - 500 Mbit/s - 300 Mbit/s - 250 Mbit/s - 200 Mbit/s - 100 Mbit/s - 50 Mbit/s The coordinator takes the largest relay, 500 Mbit/s, and picks a random slot for it. It picks slot 3. The coordinator takes the next largest, 300, and randomly picks slot 2. The slots are now: 0 | 1 | 2 | 3 | 4 -------|-------|-------|-------|------- | | 300 | 500 | | | | | The coordinator takes the next largest, 250, and randomly picks slot 2. Slot 2 already has 600 Mbit/s of measurer capacity reserved (300*m); given just 1000 Mbit/s of total measurer capacity, there is just 400 Mbit/s of spare capacity while this relay requires 500 Mbit/s. There is not enough room in slot 2 for this relay. The coordinator picks a new random slot, 0. 0 | 1 | 2 | 3 | 4 -------|-------|-------|-------|------- 250 | | 300 | 500 | | | | | The next largest is 200 and the coordinator randomly picks slot 2 again (wow!). As there is just enough spare capacity, the coordinator assigns this relay to slot 2. 0 | 1 | 2 | 3 | 4 -------|-------|-------|-------|------- 250 | | 300 | 500 | | | 200 | | The coordinator randomly picks slot 4 for the last remaining relays, in that order. 0 | 1 | 2 | 3 | 4 -------|-------|-------|-------|------- 250 | | 300 | 500 | 100 | | 200 | | 50 3.2.1.3 Generating V3BW files Every hour the FF coordinator produces a v3bw file in which it stores the latest capacity estimate for every relay it has measured in the last week. The coordinator will create this file on the host's local file system. Previously-generated v3bw files will not be deleted by the coordinator. A symbolic link at a static path will always point to the latest v3bw file. $ ls -l v3bw -> v3bw.2020-03-01-05-00-00 v3bw.2020-03-01-00-00-00 v3bw.2020-03-01-01-00-00 v3bw.2020-03-01-02-00-00 v3bw.2020-03-01-03-00-00 v3bw.2020-03-01-04-00-00 v3bw.2020-03-01-05-00-00 3.2.2 FlashFlow Measurer The measurers take commands from the coordinator, connect to target relays with many sockets, send them traffic, and verify the received traffic is the same as what was sent. Measurers need access to a lot of internal tor functionality. One strategy is to house as much logic as possible inside an compile-time-optional control port module that calls into other parts of tor. Alternatively FlashFlow could link against tor and call internal tor functions directly. [XXX for now I'll assume that an optional little-t tor control port module housing a lot of this code is the best idea.] Notable new things that internal tor code will need to do on the measurer (client) side: 1. Open many TLS+TCP connections to the same relay on purpose. 2. Verify echo cells. 3.2.2.1 Open many connections FlashFlow prototypes needed to "hack in" a flag in the open-a-connection-with-this-relay function call chain that indicated whether or not we wanted to force a new connection to be created. Most of Tor doesn't care if it reuses an existing connection, but FF does want to create many different connections. The cleanest way to accomplish this will be investigated. On the relay side, these measurer connections do not count towards DoS detection algorithms. 3.2.2.2 Verify echo cells A parameter will exist to tell the measurers with what frequency they shall verify that cells echoed back to them match what was sent. This parameter does not need to exist outside of the FF deployment (e.g. it doesn't need to be a consensus parameter). The parameter instructs the measurers to check 1 out of every N cells. The measurer keeps a count of how many measurement cells it has sent. It also logically splits its output stream of cells into buckets of size N. At the start of each bucket (when num_sent % N == 0), the measurer chooses a random index in the bucket. Upon sending the cell at that index (num_sent % N == chosen_index), the measurer records the cell. The measurer also counts cells that it receives. When it receives a cell at an index that was recorded, it verifies that the received cell matches the recorded sent cell. If they match, no special action is taken. If they don't match, the measurer indicates failure to the coordinator and target relay and closes all connections, ending the measurement. 3.2.2.2.1 Example Consider bucket_size is 1000. For the moment ignore cell encryption. We start at idx=0 and pick an idx in [0, 1000) to record, say 640. At idx=640 we record the cell. At idx=1000 we choose a new idx in [1000, 2000) to record, say 1236. At idx=1236 we record the cell. At idx=2000 we choose a new idx in [2000, 3000). Etc. There's 2000+ cells in flight and the measurer has recorded two items: - (640, contents_of_cellA) - (1236, contents_of_cellB) Consider the receive side now. It counts the cells it receives. At receive idx=640, it checks the received cell matches the saved cell from before. At receive idx=1236, it again checks the received cell matches. Etc. 3.2.2.2.2 Motivation A malicious relay may want to skip decryption of measurement cells to save CPU cycles and obtain a higher capacity estimate. More generally, it could generate fake measurement cells locally, ignore the measurement traffic it is receiving, and flood the measurer with more traffic that it (the measurer) is even sending. The security of echo cell verification is discussed in section 3.3.1. 3.3 Security In this section we discuss the security of various aspects of FlashFlow and the tor changes it requires. 3.3.1 Echo Cell Verification: Bucket Size A smaller bucket size means more cells are checked and FF is more likely to detect a malicious target. It also means more bookkeeping overhead (CPU/RAM). An adversary that knows bucket_size and cheats on one item out of every bucket_size items will have a 1/bucket_size chance of getting caught in the first bucket. This is the worst case adversary. While cheating on just a single item per bucket yields very little advantage, cheating on more items per bucket increases the likelihood the adversary gets caught. Thus only the worst case is considered here. In general, the odds the adversary can successfully cheat in a single bucket are (bucket_size-1)/bucket_size Thus the odds the adversary can cheat in X consecutive buckets are [(bucket_size-1)/bucket_size]^X In our case, X will be highly varied: Slow relays won't see very many buckets, but fast relays will. The damage to the network a very slow relay can do by faking being only slightly faster is limited. Nonetheless, for now we motivate the selection of bucket_size with a slow relay: - Assume a very slow relay of 1 Mbit/s capacity that will cheat 1 cell in each bucket. Assume a 30 second measurement. - The relay will handle 1*30 = 30 Mbit of traffic during the measurement, or 3.75 MB, or 3.75 million bytes. - Cells are 514 bytes. Approximately (e.g. ignoring TLS) 7300 cells will be sent/recv over the course of the measurement. - A bucket_size of 50 results in about 146 buckets over the course of the 30s measurement. - Therefore, the odds of the adversary cheating successfully as (49/50)^(146), or about 5.2%. This sounds high, but a relay capable of double the bandwidth (2 Mbit/s) will have (49/50)^(2*146) or 0.2% odds of success, which is quite low. Wanting a <1% chance that a 10 Mbit/s relay can successfully cheat results in a bucket size of approximately 125: - 10*30 = 300 Mbit of traffic during 30s measurement. 37.5 million bytes. - 37,500,000 bytes / 514 bytes/cell = ~73,000 cells - bucket_size of 125 cells means 73,000 / 125 = 584 buckets - (124/125)^(584) = 0.918% chance of successfully cheating Slower relays can cheat more easily but the amount of extra weight they can obtain is insignificant in absolute terms. Faster relays are essentially unable to cheat. 3.3.2 Weight Inflation Target relays are an active part of the measurement process; they know they are getting measured. While a relay cannot fake the measurement traffic, it can trivially stop transferring client background traffic for the duration of the measurement yet claim it carried some. More generally, there is no verification of the claimed amount of background traffic during the measurement. The relay can claim whatever it wants, but it will not be trusted above the ratio the FlashFlow deployment is configured to know. This places an easy to understand, firm, and (if set as we suggest) low cap on how much a relay can inflate its measured capacity. Consider a background/measurement ratio of 1/4, or 25%. Assume the relay in question has a hard limit on capacity (e.g. from its NIC) of 100 Mbit/s. The relay is supposed to use up to 25% of its capacity for background traffic and the remaining 75%+ capacity for measurement traffic. Instead the relay ceases carrying background traffic, uses all 100 Mbit/s of capacity to handle measurement traffic, and reports ~33 Mbit/s of background traffic (33/133 = ~25%). FlashFlow would trust this and consider the relay capable of 133 Mbit/s. (If the relay were to report more than ~33 Mbit/s, FlashFlow limits it to just ~33 Mbit/s.) With r=25%, FlashFlow only allows 1.33x weight inflation. Prior work shows that Torflow allows weight inflation by a factor of 89x [0] or even 177x [1]. The ratio chosen is a trade-off between impact on background traffic and security: r=50% allows a relay to double its weight but won't impact client traffic for relays with steady state throughput below 50%, while r=10% allows a very low inflation factor but will cause throttling of client traffic at far more relays. We suggest r=25% (and thus 1/(1-0.25)=1.33x inflation) for a reasonable trade-off between performance and security. It may be possible to catch relays performing this attack, especially if they literally drop all background traffic during the measurement: have the measurer (or some party on its behalf) create a regular stream through the relay and measure the throughput on the stream before/during/after the measurement. This can be explored longer term. 3.3.3 Incomplete Authentication The short term FlashFlow implementation has the relay set two torrc options if they would like to allow themselves to be measured: a flag allowing measurement, and the list of coordinator TLS certificate that are allowed to start a measurement. The relay drops MSM_PARAMS cells from coordinators it does not trust, and immediately closes the connection after that. A FF coordinator cannot convince a relay to enter measurement mode unless the relay trusts its TLS certificate. A trusted coordinator specifies in the MSM_PARAMS cell the IP addresses of the measurers the relay shall expect to connect to it shortly. The target adds the measurer IP addresses to a whitelist in the DoS connection limit system, exempting them from any configured connection limit. If a measurer is behind a NAT, an adversary behind the same NAT can DoS the relay's available sockets until the end of the measurement. The adversary could also pretend to be the measurer. Such an adversary could induce measurement failures and inaccuracies. (Note: the whitelist is cleared after the measurement is over.) 4. FlashFlow measurement system: Medium term The medium term deployment stage begins after FlashFlow has been implemented and relays are starting to update to a version of Tor that supports it. We plan to host a FlashFlow deployment consisting of a FF coordinator and a single FF measurer on a single 1 Gbit/s machine. Data produced by this deployment will be made available (semi?) publicly, including both v3bw files and intermediate results. Any development changes needed during this time would go through separate proposals. 5. FlashFlow measurement system: Long term In the long term, finishing-touch development work will be done, including adding better authentication and measurement scheduling, and experiments will be run to determine the best way to integrate FlashFlow into the Tor ecosystem. Any development changes needed during this time would go through separate proposals. 5.1 Authentication to Target Relay Short term deployment already had FlashFlow coordinators using TLS certificates when connecting to relays, but in the long term, directory authorities will vote on the consensus parameter for which coordinators should be allowed to perform measurements. The voting is done in the same way they currently vote on recommended tor versions. FlashFlow measurers will be updated to use TLS certificates when connecting to relays too. FlashFlow coordinators will update the contents of MSM_PARAMS cells to contain measurer TLS certificates instead of IP addresses, and relays will update to expect this change. 5.2 Measurement Scheduling Short term deployment only has one FF deployment running. Long term this may no longer be the case because, for example, more than one directory authority decides to adopt it and they each want to run their own deployment. FF deployments will need to coordinate between themselves to not measure the same relay at the same time, and to handle new relays as they join during the middle of a measurement period (during the day). The following is quoted from Section 4.3 of the FlashFlow paper. To measure all relays in the network, the BWAuths periodically determine the measurement schedule. The schedule determines when and by whom a relay should be measured. We assume that the BWAuths have sufficiently synchronized clocks to facilitate coordinating their schedules. A measurement schedule is created for each measurement period, the length p of which determines how often a relay is measured. We use a measurement period of p = 24 hours. To help avoid active denial-of-service attacks on targeted relays, the measurement schedule is randomized and known only to the BWAuths. Before the next measurement period starts, the BWAuths collectively generate a random seed (e.g. using Tor’s secure-randomness protocol). Each BWAuth can then locally determine the shared schedule using pseudorandom bits extracted from that seed. The algorithm to create the schedule considers each measurement period to be divided into a sequence of t-second measurement slots. For each old relay, slots for each BWAuth to measure it are selected uniformly at random without replacement from all slots in the period that have sufficient unallocated measurement capacity to accommodate the measurement. When a new relay appears, it is measured separately by each BWAuth in the first slots with sufficient unallocated capacity. Note that this design ensures that old relays will continue to be measured, with new relays given secondary priority in the order they arrive. 5.3 Experiments [XXX todo] 5.4 Other Changes/Investigations/Ideas - How can FlashFlow data be used in a way that doesn't lead to poor load balancing given the following items that lead to non-uniform client behavior: - Guards that high-traffic HSs choose (for 3 months at a time) - Guard vs middle flag allocation issues - New Guard nodes (Guardfraction) - Exit policies other than default/all - Directory activity - Total onion service activity - Super long-lived circuits - Add a cell that the target relay sends to the coordinator indicating its CPU and memory usage, whether it has a shortage of sockets, how much bandwidth load it has been experiencing lately, etc. Use this information to lower a relays weight, never increase. - If FlashFlow and sbws work together (as opposed to FlashFlow replacing sbws), consider logic for how much sbws can increase/decrease FF results - Coordination of multiple FlashFlow deployments: scheduling of measurements, seeding schedule with shared random value. - Other background/measurement traffic ratios. Dynamic? (known slow relay => more allowed bg traffic?) - Catching relays inflating their measured capacity by dropping background traffic. - What to do about co-located relays. Can they be detected reliably? Should we just add a torrc option a la MyFamily for co-located relays? - What is the explanation for dennis.jackson's scary graphs in this [2] ticket? Was it because of the speed test? Why? Will FlashFlow produce the same behavior? 6. Citations [0] F. Thill. Hidden Service Tracking Detection and Bandwidth Cheating in Tor Anonymity Network. Master’s thesis, Univ. Luxembourg, 2014. [1] A. Johnson, R. Jansen, N. Hopper, A. Segal, and P. Syverson. PeerFlow: Secure Load Balancing in Tor. Proceedings on Privacy Enhancing Technologies (PoPETs), 2017(2), April 2017. [2] Mike Perry: Graph onionperf and consensus information from Rob's experiments https://trac.torproject.org/projects/tor/ticket/33076

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