• DocumentCode
    508970
  • Title

    A Worm Detection Model Based on Artificial Immunology

  • Author

    Wen Chen ; Tao Li ; Yuanquan Shi ; Yanming Fu

  • Author_Institution
    Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
  • Volume
    1
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    64
  • Lastpage
    67
  • Abstract
    The target of worm attacking is the whole Internet; usually, the defense of worm intrusion based on single computer cannot work well when facing large scale of worms´ attacking, so it cannot assure the network security all the time. Inspired by the collaboration of the immune cells, we apply the artificial immunology theory to the design of the active worm defense model AI-WDM, in which the computer network constitute an immune network and each computer in the network working as a detection node, they corporate with each other to defense the intrusion of worms while running detection processes independently.
  • Keywords
    Internet; artificial immune systems; computer network security; invasive software; Internet; active worm defense model; artificial immuned based worm detection model; computer network; network security; Application software; Artificial intelligence; Computer networks; Computer security; Computer worms; Detectors; Genetic mutations; Immune system; Information technology; Intrusion detection; artificial immunology; network security; worm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.112
  • Filename
    5368851