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

  • Authors:
  • Farhoud Hosseinpour;Kamalrulnizam Abu Bakar;Amir Hatami Hardoroudi;Nazaninsadat Kazazi

  • Affiliations:
  • -;-;-;-

  • Venue:
  • INCOS '10 Proceedings of the 2010 International Conference on Intelligent Networking and Collaborative Systems
  • Year:
  • 2010

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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.