• DocumentCode
    498816
  • Title

    A Wireless-LAN security model based on Computer Immunology

  • Author

    Chang, Zhuo ; He, Qiang ; Zhao, Peng-yuan ; Liu, Jin-song

  • Author_Institution
    Math. & Comput. Sci., Hebei Univ., Baoding, China
  • Volume
    4
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    2054
  • Lastpage
    2057
  • Abstract
    With the rapid development of network, WLAN, which is being widely applied on various occasions, becomes the hotspot of the marketplace. This paper brings forward a intrusion detection system model named after DWIDS (A Distributed Wireless-LAN Intrusion Detection System Model based on Computer Immunology), which can be used to effectively compensate for the defects of the traditional technology on safety protection. The DWIDS applies the principles of the computer immunology to IDS; that is to say, several different detection agents work coordinately and distributedly in each AP and cooperate with each other to detect intrusions. The self-learning mechanism of the sandbox not only studies the unknown intrusions, but also abstracts the rules and collects the evidence. Nowadays, with the popularization of WLAN, the application of DWIDS undoubtedly improves the safety coefficient of entire network, increases the usage ratio of network, and decreases the fund invested in the safety troubles of enterprises and departments.
  • Keywords
    security of data; wireless LAN; DWIDS; computer immunology; distributed wireless-LAN intrusion detection system; safety protection; wireless-LAN security model; Communication system security; Computer security; Information security; Intrusion detection; Machine learning; Power system security; Safety; Spread spectrum communication; Wireless LAN; Wireless networks; Computer immunology; IDS; WLAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212158
  • Filename
    5212158