• DocumentCode
    3314444
  • Title

    Analysis of Response Factors in Intrusion Response Decision-Making

  • Author

    Mu, Chengpo ; Shuai, Bing ; Liu, Haifeng

  • Author_Institution
    Beijing Inst. of Technol., Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    28-31 May 2010
  • Firstpage
    395
  • Lastpage
    399
  • Abstract
    The concept of response factor and its significances are briefly introduced in this paper. The existing response decision-making models and their related response factors are presented. According to the practical meaning of these response factors, their names are unified for the convenience of discussion. The statistics of response factors in typical response decision-making models are made, meanwhile these response factors are classified according to the proposed standards including related feature, subjective and objective feature, and original feature. In order to choose proper factors in response time decision-making and response measure decision-making processes respectively, a taxonomy of response factors is given. In addition, the problems of the improper response factor used in existing response decision-making models are indicated in the paper. The architecture, response decision-making process and experiments of the intrusion detection alert management & intrusion response system (IDAM&IRS) are shown. Especially, response factors used in IDAM&IRS are discussed in detail. The role and function of response factors are summarized at last.
  • Keywords
    Adaptive systems; Cost function; Decision making; Delay; Intrusion detection; Real time systems; Risk management; Statistics; Taxonomy; Time measurement; Automated Intrusion Response System; Intrusion Detection; Intrusion response Decision-Making; Res-ponse factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
  • Conference_Location
    Huangshan, Anhui, China
  • Print_ISBN
    978-1-4244-6812-6
  • Electronic_ISBN
    978-1-4244-6813-3
  • Type

    conf

  • DOI
    10.1109/CSO.2010.30
  • Filename
    5533111