Unmixing mix traffic Conference Paper uri icon

abstract

  • We apply blind source separation techniques from statistical signal processing to separate the traffic in a mix network. Our experiments show that this attack is effective and scalable. By combining the flow separation method and frequency spectrum matching method, a passive attacker can get the traffic map of the mix network. We use a non-trivial network to show that the combined attack works. The experiments also show that multicast traffic can be dangerous for anonymity networks. Springer-Verlag Berlin Heidelberg 2006.

published proceedings

  • PRIVACY ENHANCING TECHNOLOGIES

author list (cited authors)

  • Zhu, Y. e., & Bettati, R.

citation count

  • 12

complete list of authors

  • Zhu, Ye||Bettati, Riccardo

editor list (cited editors)

  • Danezis, G., & Jr, D.

publication date

  • January 2006