• DocumentCode
    3382393
  • Title

    Belief in information flow

  • Author

    Clarkson, Michael R. ; Myers, Andrew C. ; Schneider, Fred B.

  • Author_Institution
    Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
  • fYear
    2005
  • fDate
    20-22 June 2005
  • Firstpage
    31
  • Lastpage
    45
  • Abstract
    Information leakage traditionally has been defined to occur when uncertainty about secret data is reduced. This uncertainty-based approach is inadequate for measuring information flow when an attacker is making assumptions about secret inputs and these assumptions might be incorrect; such attacker beliefs are an unavoidable aspect of any satisfactory definition of leakage. To reason about information flow based on beliefs, a model is developed that describes how attacker beliefs change due to the attacker´s observation of the execution of a probabilistic (or deterministic) program. The model leads to a new metric for quantitative information flow that measures accuracy rather than uncertainty of beliefs.
  • Keywords
    security of data; uncertainty handling; belief uncertainty; deterministic program; information leakage; probabilistic program; quantitative information flow; uncertainty-based approach; Authentication; Computer science; Fluid flow measurement; Government; Information security; Mechanical factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Security Foundations, 2005. CSFW-18 2005. 18th IEEE Workshop
  • ISSN
    1063-6900
  • Print_ISBN
    0-7695-2340-4
  • Type

    conf

  • DOI
    10.1109/CSFW.2005.10
  • Filename
    1443196