• DocumentCode
    2350191
  • Title

    Survey on Artificial Immune System as a Bio-inspired Technique for Anomaly Based Intrusion Detection Systems

  • Author

    Hosseinpour, Farhoud ; Bakar, Kamalrulnizam Abu ; Hardoroudi, Amir Hatami ; Kazazi, Nazaninsadat

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Syst., Univ. of Technol. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2010
  • fDate
    24-26 Nov. 2010
  • Firstpage
    323
  • Lastpage
    324
  • Abstract
    During the last few years, need for protection of computer networks from the outside world is evident. Connectivity of the computer networks to worked wide internet exposes them to many kinds of cyber crimes. Currently Intrusion detection systems have grown to be an ordinary component of network security infrastructure. With mounting global network connectivity, the issue of intrusion has achieved importance, promoting active research on efficient Intrusion Detection Systems (IDS). Artificial Immune System (AIS) is a new bio-inspired model, which is applied for solving various problems in the field of information security. The unique features AIS encourage the researchers to employ this techniques in variety of applications and especially in intrusion detection systems. This paper presents a survey on current Artificial Immune System based Intrusion Detections.
  • Keywords
    artificial immune systems; computer network security; anomaly based intrusion detection systems; artificial immune system; bioinspired model; computer networks; cybercrimes; global network connectivity; information security; AIS; Danger Theory; IDS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networking and Collaborative Systems (INCOS), 2010 2nd International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    978-1-4244-8828-5
  • Electronic_ISBN
    978-1-4244-4278-2
  • Type

    conf

  • DOI
    10.1109/INCOS.2010.40
  • Filename
    5702114