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

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.

[1]  Tao Li,et al.  Distributed agents model for intrusion detection based on AIS , 2009, Knowl. Based Syst..

[2]  Alan S. Perelson,et al.  The immune system, adaptation, and machine learning , 1986 .

[3]  F. Azuaje.  Artificial Immune Systems: A New Computational Intelligence Approach , 2003 .

[4]  Sugata Sanyal,et al.  Evolution Induced Secondary Immunity: An Artificial Immune System Based Intrusion Detection System , 2008, 2008 7th Computer Information Systems and Industrial Management Applications.

[5]  Mohammad Zulkernine,et al.  DIDMA: a distributed intrusion detection system using mobile agents , 2005, Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Network.

[6]  Alan S. Perelson,et al.  Self-nonself discrimination in a computer , 1994, Proceedings of 1994 IEEE Computer Society Symposium on Research in Security and Privacy.

[7]  Zhiguo Zhao,et al.  An artificial immunity-based proactive defense system , 2007, 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[8]  Ki-Won Yeom,et al.  An Immune System Inspired Approach of Collaborative Intrusion Detection System Using Mobile Agents in Wireless Ad Hoc Networks , 2005, CIS.

[9]  Uwe Aickelin,et al.  Danger Theory: The Link between AIS and IDS? , 2003, ICARIS.

[10]  Jonathan Timmis,et al.  Theoretical advances in artificial immune systems , 2008, Theor. Comput. Sci..

[11]  Haidong Fu,et al.  Design of a Four-Layer Model Based on Danger Theory and AIS for IDS , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[12]  P. Matzinger.  The Danger Model: A Renewed Sense of Self , 2002, Science.

[13]  Stephanie Forrest,et al.  Architecture for an Artificial Immune System , 2000, Evolutionary Computation.

[14]  Robert L. Fanelli.  A Hybrid Model for Immune Inspired Network Intrusion Detection , 2008, ICARIS.