• DocumentCode
    2224105
  • Title

    An evidence theory based anonymity metrics

  • Author

    Ling, Zhen ; Luo, Junzhou ; Yang, Ming

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing
  • fYear
    2008
  • fDate
    July 31 2008-Aug. 1 2008
  • Firstpage
    82
  • Lastpage
    87
  • Abstract
    For privacy protection, several anonymous communication systems have been presented in the past a few years, such as Crowds, Onion routing, TOR etc. In order to measure the anonymity these systems provided, an evidence theory based approach is proposed in this paper, which presents Evidence Collection Model (ECM) to collect evidence, i.e. leaked attributes that can be obtained by attackers from userspsila actions; presents Anonymity State Model (ASM) to describe the dynamic transition of anonymity states within a given time period. According to these two models, a new method to quantify the anonymity and the unlinkability of actions is introduced. Compared with the traditional Shannon information theory, our new approach is shown to be more general and useful for evaluating the anonymity.
  • Keywords
    data privacy; information theory; Shannon information theory; anonymity metrics; anonymity state model; anonymous communication systems; evidence collection model; privacy protection; Communication systems; Computer science; Electrochemical machining; Entropy; Information theory; Privacy; Proposals; Protection; Routing; Time measurement; Anonymity; Digital Identity; Evidence Theory; Unlinkability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubi-Media Computing, 2008 First IEEE International Conference on
  • Conference_Location
    Lanzhou
  • Print_ISBN
    978-1-4244-1865-7
  • Electronic_ISBN
    978-1-4244-1866-4
  • Type

    conf

  • DOI
    10.1109/UMEDIA.2008.4570870
  • Filename
    4570870