• DocumentCode
    1642717
  • Title

    Quantification of Integrity

  • Author

    Clarkson, Michael R. ; Schneider, Fred B.

  • Author_Institution
    Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
  • fYear
    2010
  • Firstpage
    28
  • Lastpage
    43
  • Abstract
    Two kinds of integrity measures-contamination and suppression-are introduced. Contamination measures how much untrusted information reaches trusted outputs; it is the dual of information-flow confidentiality. Suppression measures how much information is lost from outputs; it does not have a confidentiality dual. Two forms of suppression are considered: programs and channels. Program suppression measures how much information about the correct output of a program is lost because of attacker influence and implementation errors. Channel suppression measures how much information about inputs to a noisy channel is missing from channel outputs. The relationship between quantitative integrity, confidentiality, and database privacy is examined.
  • Keywords
    data integrity; data privacy; database management systems; channel suppression measures; database privacy; information flow confidentiality; integrity measures; integrity quantification; program suppression measures; untrusted information; Contamination; Databases; Mutual information; Pollution measurement; Receivers; Tin; Integrity; database privacy; information theory; quantitative information flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Security Foundations Symposium (CSF), 2010 23rd IEEE
  • Conference_Location
    Edinburgh
  • ISSN
    1940-1434
  • Print_ISBN
    978-1-4244-7510-0
  • Electronic_ISBN
    1940-1434
  • Type

    conf

  • DOI
    10.1109/CSF.2010.10
  • Filename
    5552656