• DocumentCode
    518873
  • Title

    An improved artificial immune approach to network intrusion detection

  • Author

    Fang, Xianjin ; Li, Longshu

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Anhui Univ. of Sci. & Technol., Huainan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    The definition of vaccine, vaccine autonomous obtaining algorithm, vaccination operator and evolution of vaccine library are proposed in this paper. The generic clonal selection algorithm is improved by integrating with vaccine autonomous obtaining and vaccination operator, whose purpose is to accelerate the convergence speed of clonal selection algorithm, and improve the efficiency of the algorithm. The improved clonal selection algorithm together with negative selection mechanism in immunology is used to create the model of network intrusion detection. Simulated experimental results and theoretical computation efficiency analyses demonstrate the availability of the model and the speedup of convergence.
  • Keywords
    artificial immune systems; computer network security; artificial immune approach; computation efficiency; convergence speed; generic clonal selection algorithm; immunology; negative selection mechanism; network intrusion detection; vaccination operator; vaccine autonomous obtaining algorithm; vaccine library evolution; Acceleration; Analytical models; Computational modeling; Computer science; Detectors; Genetic mutations; Immune system; Intrusion detection; Libraries; Vaccines; Artificial Immune System; Clonal Selection Algorithm; Vaccination operator; network Intrusion Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5487176
  • Filename
    5487176