• DocumentCode
    1853169
  • Title

    Biological Intrusion Prevention and Self-Healing Model for Network Security

  • Author

    Elsadig, Muna ; Abduallah, Azween

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2010
  • fDate
    22-24 Jan. 2010
  • Firstpage
    337
  • Lastpage
    342
  • Abstract
    This paper describes a new approach for network security based on the combination of biological intrusion prevention and self-healing concepts. The presented system integrates an artificial immune intrusion prevention system for network security inspired by immunological theory known as danger theory. The approach is based upon data inspired by the human immune system (HIS). The IPS analyzes the malicious activities and their effect to trigger the self-healing system. That is detection of the damage caused by malicious activities is used to start the self - healing (SH) mechanism. This system is automated and enhances the fault repair and system recovery.
  • Keywords
    artificial immune systems; biocomputing; fault tolerant computing; security of data; system recovery; artificial immune intrusion prevention system; biological intrusion prevention; danger theory; fault repair; human immune system; immunological theory; malicious activity analysis; network security; self-healing model; system recovery; Biological system modeling; Biology computing; Data security; Detectors; Immune system; Information security; Intrusion detection; Monitoring; Robustness; Viruses (medical);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Networks, 2010. ICFN '10. Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3940-9
  • Electronic_ISBN
    978-1-4244-5667-3
  • Type

    conf

  • DOI
    10.1109/ICFN.2010.103
  • Filename
    5431824