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Unmixing Mix Traffic
[chapter]
2006
Lecture Notes in Computer Science
We apply blind source separation techniques from statistical signal processing to separate the traffic in a mix network into either individual flows or groups of flows. This separation requires no a priori information about the individual flows. As a result, unlinkability can be compromised without ever observing individual flows. Our experiments show that this attack is effective and scalable. By correlating separated groups of flows across nodes, a passive attacker can get an accurate traffic
doi:10.1007/11767831_8
fatcat:vfubvdc57rdftkqvxvfqsad23y