• DocumentCode
    2676535
  • Title

    Entropy Weight Coefficient Method for Evaluating Intrusion Detection Systems

  • Author

    Tian, Junfeng ; Liu, Tao ; Jiao, Hongqiang

  • Author_Institution
    Coll. of Math. & Comput. Sci., Hebei Univ., Baoding
  • fYear
    2008
  • fDate
    3-5 Aug. 2008
  • Firstpage
    592
  • Lastpage
    598
  • Abstract
    In an effort to analyze and solve evaluation of intrusion detection system, evaluation methods such as ROC curve, the Bayesian detection rate, the expected cost and the intrusion detection capability had been established. The evaluation methods which only involved few evaluation metrics (such as false positive rate, false negative rate) had their own weaknesses, because the complexity of intrusion detection system is the main cause and evaluation of intrusion detection system must involve many performance indexes. In order to achieve the purpose of intrusion detection systems for comprehensive evaluation, this paper gives a method of entropy weight coefficient that is applied to calculate the weight of factors and decrease subjective judgment on the effect of the weight coefficient. Intrusion detection systems are evaluated objectively and comprehensively by the method of entropy weight coefficient.
  • Keywords
    entropy; performance index; security of data; software performance evaluation; entropy weight coefficient; evaluation metrics; intrusion detection systems; performance indexes; Bayesian methods; Computer science; Computer security; Cost function; Educational institutions; Electronic commerce; Entropy; Event detection; Intrusion detection; Mathematics; evaluation; fuzzy comprehensive evaluation; intrusion detection system; network security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Security, 2008 International Symposium on
  • Conference_Location
    Guangzhou City
  • Print_ISBN
    978-0-7695-3258-5
  • Type

    conf

  • DOI
    10.1109/ISECS.2008.107
  • Filename
    4606135