• DocumentCode
    2802868
  • Title

    Researching on Controlling Model of IDS Alarm

  • Author

    Guo Xiaoli ; Guo Ping

  • Author_Institution
    Inf. Eng. Coll., Northeast Dianli Univ., Jilin, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper is mainly in order to solve the high rate of wrong alarm in IDS. First we have analyzed carefully two kinds of controlling arithmetic models (Non-linear model and linear convergence model). Then we have set up an efficient alarm controlling model by the way of analyzing alarming information. This alarm controlling model which uses the passivation of human olfaction aims at the sustaining high frequency no-action alarming information in order to reduce rate of no-action alarming in IDS, the final result is that we can achieve the lowest wrong alarming of IDS and we can make it convenient to administrators.
  • Keywords
    convergence; nonlinear equations; security of data; IDS alarm control model; human olfaction passivation; intrusion detection; linear convergence model; nonlinear model; Arithmetic; Convergence; Educational institutions; Frequency; Humans; Information analysis; Internet; Intrusion detection; Passivation; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5362522
  • Filename
    5362522