• DocumentCode
    2850468
  • Title

    Adaptive Intrusion Tolerance Strategy of the System Based on Artificial Immune

  • Author

    Cui, Zhilei ; Lu, Xi ; Wang, Jine

  • Author_Institution
    Electron. Inf. Dept., Suzhou Vocational Univ., Suzhou, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new idea for studying the ability for computer to bear and process viruses after suffering from the intrusion of the viruses was discussed in this paper. This ability was named intrusion tolerance. Starting from the intrusions, capturing the behavioral characteristics and dynamically adopting different strategies enable the system to continue to provide security services. In the mean time, applying artificial intelligence to intrusion tolerant system can adaptively adjust and learn according to the extent of damage caused by attack. Establishing behavioral database was proposed for the first time. This method can avoid updating a large number of virus database frequently, realize the coordinative detection and early warning among the different servers and further improves the ability for computer to prevent and process the viruses.
  • Keywords
    artificial immune systems; artificial intelligence; authorisation; computer viruses; adaptive intrusion tolerance strategy; artificial immune; artificial intelligence; computer virus; security service; Artificial immune systems; Artificial intelligence; Computer security; Computer viruses; Data security; Databases; Humans; Immune system; Pathogens; Resists;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365354
  • Filename
    5365354