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On identifying anomalies in Tor usage with applications in detecting internet censorship

Abstract:

We develop a means to detect ongoing per-country anomalies in the daily usage metrics of the Tor anonymous communication network, and demonstrate the applicability of this technique to identifying likely periods of internet censorship and related events. The presented approach identifies contiguous anomalous periods, rather than daily spikes or drops, and allows anomalies to be ranked according to deviation from expected behaviour.


The developed method is implemented as a runn...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1145/3201064.3201093

Authors


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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0001-5237-3309
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Social Sciences Division
Department:
Internet Institute
Role:
Author
Alan Turing Institute More from this funder
Publisher:
Association for Computing Machinery Publisher's website
Journal:
10th ACM Conference on Web Science (WebSci '18) Journal website
Host title:
10th ACM Conference on Web Science (WebSci '18)
Publication date:
2018-05-15
Acceptance date:
2018-03-25
DOI:
Source identifiers:
853920
Keywords:
Pubs id:
pubs:853920
UUID:
uuid:31bc9ebf-457f-48d4-b527-e1b2325318bf
Local pid:
pubs:853920
Deposit date:
2018-05-25

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