• DocumentCode
    2730708
  • Title

    Research of intelligent immune intrusion detection system about combating virus with “virus”

  • Author

    Shao-jing, Zhou ; Wen-li, Shao ; Hui, Rong ; Zhen-ting, Chen ; Yu, Yang

  • Author_Institution
    Comput. Inf. Fac., Kunming Metall. Coll., Kunming, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    753
  • Lastpage
    756
  • Abstract
    To solve the limitation problems exist in the anti-virus software, firewall, intrusion detection system, intrusion defense system and vulnerability scanning system, the research of the active defense system is imperative. This paper cited the feasibility and necessity of combating virus with “virus”, makes use of the spontaneous, subtle, infectious destructive and unpredictable characteristics about the virus, implants “virus” and cloned variation “virus” into immune intrusion detection system based on e-learning, which can effectively improve immunity of the system. The research includes the work principle of immune implantation about the “virus” and cloned variation “virus”, e-learning mechanism of Sogou intelligent robot, algorithm on the Sogou intelligent robot, active defense method based on combating virus with “virus”.
  • Keywords
    artificial immune systems; computer aided instruction; computer network security; computer viruses; intelligent robots; Sogou intelligent robot; active defense method; cloned variation virus; e-learning mechanism; immune implantation; infectious destructive characteristics; intelligent immune intrusion detection system; Companies; Electronic learning; Immune system; Intrusion detection; Robots; Vaccines; Sogou intelligent robot; Virus Vaccine; active defense system; combating virus with “virus”; intrusion detection system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9699-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2011.5982444
  • Filename
    5982444