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Re: [tor-bugs] #2718 [Analysis]: Analyze Tor usage data for ways to automatically detect country-wide blockings
#2718: Analyze Tor usage data for ways to automatically detect country-wide
blockings
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Reporter: karsten | Owner:
Type: task | Status: assigned
Priority: normal | Milestone:
Component: Analysis | Version:
Keywords: | Parent:
Points: | Actualpoints:
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Comment(by karsten):
Replying to [comment:8 karsten]:
> * Generate graphs using our own graphing engine. We should use R and
our own graphing engine to integrate the results more in our website. I
could imagine adding a checkbox "[ ] Show possible censorship events if
available (BETA)" below the Source drop-down box on
[https://metrics.torproject.org/users.html#direct-users]. The result
would be that the graph doesn't only contain the estimated user number,
but also a gray ribbon for the expected range and green/yellow points for
upturns and downturns. This would require disabling graph generation in
`detector.py` and writing the expected user range per country and day to a
file. I hope my Python will be sufficient to do this.
This is now implemented. See, for example,
[https://metrics.torproject.org/users.html?graph=direct-
users&start=2010-01-01&end=2011-07-11&country=ir&events=on&dpi=72#direct-
users this graph] for possible censorship events in Iran visualized as
blue and red dots. There are still some false positives, but overall the
results are a great start.
--
Ticket URL: <https://trac.torproject.org/projects/tor/ticket/2718#comment:9>
Tor Bug Tracker & Wiki <https://trac.torproject.org/>
The Tor Project: anonymity online
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