Attacking Unlinkability: The Importance of Context

نویسندگان

  • Matthias Franz
  • Bernd Meyer
  • Andreas Pashalidis
چکیده

A system that protects the unlinkability of certain data items (e. g. identifiers of communication partners, messages, pseudonyms, transactions, votes) does not leak information that would enable an adversary to link these items. The adversary could, however, take advantage of hints from the context in which the system operates. In this paper, we introduce a new metric that enables one to quantify the (un)linkability of the data items and, based on this, we consider the effect of some simple contextual hints.

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تاریخ انتشار 2007