Collected research
Effective Attacks and Provable Defenses for Website Fingerprinting
A k-nearest-neighbour classifier over a large weighted feature set lets a passive local eavesdropper tell which of 100 monitored pages a Tor user is loading, at 85 percent true positive and 0.6 percent false positive in an open world. The paper then builds provably private simulatable defences from supersequences over anonymity sets.
Record
- Researcher
- Tao Wang, Xiang Cai, Rishab Nithyanand, Rob Johnson and Ian Goldberg
- Published by
- usenix.org
- Topic
- Other
In the archive
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This page is the archive's own catalogue record. The research is the work of Tao Wang, Xiang Cai, Rishab Nithyanand, Rob Johnson and Ian Goldberg, first published at the original source. Preserved copies are kept so the citation survives its host; this one was last captured on .