On Sun, Jan 7, 2018 at 8:29 AM, teor teor2345@gmail.com wrote:

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On 22 Dec 2017, at 11:23, Robin Descamps robin.descamps@outlook.com wrote: May I ask you advices/feedback about this master thesis plan? The master thesis plan: https://drive.google.com/open?id=1XEOSS29owavKJ_cJJAVaPiJe34Ez6XXx The poster: https://drive.google.com/open?id=1BlF2U-Kexyz6ihVSqvsVHv4PUsvXATc4

In particular, operators that could perform end-to-end correlation?

Have you considered the relay's Operating System?

If considering as yet non tor daemon, non measured, non consensus voted things like operators and OS, then you should extend research into similar meta parameters about the relays themselves such as datacenter hosted vs cable/dsl/fiber "home" relays, country locations, opposing legal jurisdictions, operation by "known" or "trusted" operators / entities or not, by working / fake / no contact info, by any PKI Web Of Trust asserted among operators, funding sources, employer / corporate / political / other affiliations, statistical analysis of historical relay "presence" on the network (add/drop/uptime, nicknames, movement, versions, bulk turnups, correlation groups, etc), and many more possible metas that people should think up and add to this list.

That research then followed by development of third party subscription lists of categorized / ranked relays the user or tor daemon may further pluggably select from when choosing nodes to path through.

There have been posts on tor-relays@ and tor-talk@ that mention more about these sorts of meta parameters. AFAIK, no one has done any research into them or their potential impact / benefits, whether to particularly affected, or for plain preferential choice users, or to the network as a whole. So the chance of a first good paper in the area awaits whoever does that meta analysis project.

[xpost for open project oppurtunity]