• DocumentCode
    3294654
  • Title

    Anonymity vs. Information Leakage in Anonymity Systems

  • Author

    Zhu, Ye ; Bettati, Riccardo

  • Author_Institution
    Dept. of Comput. Sci., Texas A&M Univ., College Station, TX
  • fYear
    2005
  • fDate
    10-10 June 2005
  • Firstpage
    514
  • Lastpage
    524
  • Abstract
    Measures for anonymity in systems must be on one hand simple and concise, and on the other hand reflect the realities of real systems. Such systems are heterogeneous, as are the ways they are used, the deployed anonymity measures, and finally the possible attack methods. Implementation quality and topologies of the anonymity measures must be considered as well. We therefore propose a new measure for the anonymity degree, which takes into account possible heterogeneity. We model the effectiveness of single mixes or of mix networks in terms of information leakage and measure it in terms of covert channel capacity. The relationship between the anonymity degree and information leakage is described, and an example is shown
  • Keywords
    computer networks; data communication; security of data; anonymity degree; anonymity measures; anonymity systems; attack methods; covert channel capacity; information leakage; mix networks; Channel capacity; Computer science; Entropy; Information retrieval; Information technology; Network topology; Routing; Telecommunication network topology; Anonymity; Covert Channels; Mix Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems, 2005. ICDCS 2005. Proceedings. 25th IEEE International Conference on
  • Conference_Location
    Columbus, OH
  • ISSN
    1063-6927
  • Print_ISBN
    0-7695-2331-5
  • Type

    conf

  • DOI
    10.1109/ICDCS.2005.13
  • Filename
    1437113