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Improving stream correlation attacks on anonymous networks
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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents
Honolulu, Hawaii
SESSION: Computer security track table of contents
Pages 2024-2028  
Year of Publication: 2009
ISBN:978-1-60558-166-8
Authors
Gavin O'Gorman  Dublin City University, Dublin, Ireland
Stephen Blott  Dublin City University, Dublin, Ireland
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

The level of anonymity offered by low latency, interactive, anonymous networks is unknown. This paper implements correlation attacks on the deployed Tor network and a simulated Tor network under defined network conditions. The accuracy of the attacks act as a metric for the networks anonymity in the face of a passive adversary. From observation of the deployed Tor network, several techniques were developed to compensate for some of the modifications the Tor protocol induces in traffic. These techniques increase correlation accuracy by 10% to 40% for differing correlation functions. Almost 50% of traffic streams on the simulated network are identified immediately with 10% of experimental traffic on the real Tor network identified.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Gavin O'Gorman: colleagues
Stephen Blott: colleagues