Re: [tor-bugs] #23126 [Core Tor/Tor]: HSDirs should publish some count about new-style onion addresses

["Tor Bug Tracker & Wiki" <blackhole@xxxxxxxxxxxxxx>]

#23126: HSDirs should publish some count about new-style onion addresses
-------------------------------------------------+-------------------------
 Reporter:  arma                                 |          Owner:  (none)
     Type:  enhancement                          |         Status:  new
 Priority:  Medium                               |      Milestone:  Tor:
                                                 |  0.3.2.x-final
Component:  Core Tor/Tor                         |        Version:
 Severity:  Normal                               |     Resolution:
 Keywords:  prop224, tor-hs, prop224-extra,      |  Actual Points:
  research, privcount                            |
Parent ID:                                       |         Points:
 Reviewer:                                       |        Sponsor:
-------------------------------------------------+-------------------------
Changes (by teor):

 * keywords:  prop224, tor-hs, prop224-extra, research => prop224, tor-hs,
     prop224-extra, research, privcount


Comment:

 Replying to [comment:3 asn]:
 > So a very very basic statistic here that would give us an idea of the
 adoption of HSv3 services could be:
 >
 > a) When a time period completes, every relay '''publishes the number of
 HSv3 blinded keys''' it saw during the previous time period in its extra-
 info desc. Relays also add some laplace noise to obfuscate the original
 number.

 There are several bugs in the HS v2 laplace noise implementation, see
 #23061 and children. In particular, we need to make sure we don't re-
 implement bug #23414 for HS v3.

 > Time periods start at 12:00 UTC and last 24 hours, so relays can publish
 this statistic once per day.
 >
 > b) After we have received all descriptors containing stats from a
 specific time period, we add all the ''unique blinded key counts''
 together, and publish the aggregate count. We add everything together to
 remove the laplace noise, and also to get a final graphable number.
 Unfortunately, that final number is not the number of unique HSv3 services
 since HSes publish their descriptor on multiple HSDirs under the same
 blinded key. However this number is definitely related to the number of
 unique HSes, and by noticing how this number moves over time, we can
 certainly spot adoption rates of HSv3 services.
 >
 > This is a very basic stat that could help us here. Furthermore, we can
 then deploy similar analysis to what we did for the unique v2 .onion
 counts, to weed out the duplicate HSes so that we get a more accurate
 number.

 I think there are some bugs in the v2 analysis, see #23367.

 For v3, here's the analysis and implementation I did for experimental
 privcount:
 https://github.com/privcount/privcount/blob/master/privcount/tools/compute_fractional_position_weights#L26

 (I left out the HS v3 hash ring, because it needed extra crypto, and
 imports of ed25519 ids in descriptors. I'll implement it in
 https://github.com/privcount/privcount/issues/422 )

 > And I guess we can use privcount etc. to get an even more accurate
 number.

 No, you can't use PrivCount to get unique totals. (Aaron is working on a
 separate project that uniquely aggregates addresses, but the current
 design takes too much CPU and RAM to be run daily on relays.)

 But you can use privcount to get a safe, noisy total from the individual
 relay counts. (Otherwise, to get a total you have to publish the number of
 addresses seen at each HSDir, which is less safe.)

--
Ticket URL: <https://trac.torproject.org/projects/tor/ticket/23126#comment:4>
Tor Bug Tracker & Wiki <https://trac.torproject.org/>
The Tor Project: anonymity online

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