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Publication Detail
Two-sided statistical disclosure attack
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Conference Proceeding
  • Authors:
    Danezis G, Diaz C, Troncoso C
  • Publication date:
    01/12/2007
  • Pagination:
    30, 44
  • Journal:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    4776 LNCS
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
We introduce a new traffic analysis attack: the Two-sided Statistical Disclosure Attack, that tries to uncover the receivers of messages sent through an anonymizing network supporting anonymous replies. We provide an abstract model of an anonymity system with users that reply to messages. Based on this model, we propose a linear approximation describing the likely receivers of sent messages. Using simulations, we evaluate the new attack given different traffic characteristics and we show that it is superior to previous attacks when replies are routed in the system.
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