• DocumentCode
    2092797
  • Title

    Analyzing vulnerability dynamic severity based on D-S evidence theory

  • Author

    Xiao Yun ; Peng Jinye ; Wang Xuanhong ; Zhao Jian

  • Author_Institution
    Dept. of Inf. Sci. & Technol., Northwest Univ., Xi´an, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    4201
  • Lastpage
    4204
  • Abstract
    To solve the problem of analyzing dynamic severity of computer security vulnerability, a method of analyzing vulnerability dynamic severity based D-S evidence theory was proposed. It fuses vulnerability static severity and alert statistic information produced by intrusion detection system to work out vulnerability dynamic severity metric utilizing the D-S evidence theory. Comparing with the method based on expert estimation and the fuzzy inference method, the proposed method has merits of fast computation speed, high degree of precision, simple realization and independent of expert experience. The experiments showed that this method is practical and high effective.
  • Keywords
    fuzzy set theory; inference mechanisms; security of data; D-S evidence theory; alert statistic information; expert estimation; fuzzy inference method; intrusion detection system; vulnerability dynamic severity; vulnerability static severity; Electronic mail; Estimation; Fuses; HTML; Information science; Security; Telecommunications; Evidence Theory; Severity; Vulnerability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5572870