• DocumentCode
    2761445
  • Title

    An Immune Danger Theory Inspired Model for Network Security Monitoring

  • Author

    Sun, Feixian ; Han, Xinchao ; Wang, Jianhong

  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    33
  • Lastpage
    35
  • Abstract
    In order to overcome the deficiencies of the traditional Artificial Immune Systems (AIS) in the security field of computer information system, an immune danger theory inspired model for network security monitoring is proposed in this paper. After introducing the back ground to the danger theory, a novel model for network security monitoring is presented. With the formal definitions of antigen, antibody, and detector improved, the computation method of affinity and danger signal are described. And then, the network at-tack monitoring algorithm is given. Theoretical analysis results show that the proposed model is feasible. Thus, it pro-vides a good solution to the security assurance of computer information systems.
  • Keywords
    Adaptive systems; Artificial immune systems; Computer networks; Computer security; Computerized monitoring; Immune system; Information security; Information systems; Intrusion detection; Sun; danger theory; imunity; security monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-0-7695-3972-0
  • Electronic_ISBN
    978-1-4244-5924-7
  • Type

    conf

  • DOI
    10.1109/CESCE.2010.158
  • Filename
    5493218