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The Scientific World Journal
Volume 2014, Article ID 156790, 11 pages
http://dx.doi.org/10.1155/2014/156790
Review Article

A Survey of Artificial Immune System Based Intrusion Detection

1College of Computer Science, Sichuan University, Chengdu 610064, China
2Computer School, China West Normal University, Nanchong 637002, China

Received 28 November 2013; Accepted 30 December 2013; Published 23 March 2014

Academic Editors: K. K. Mishra and A. K. Misra

Copyright © 2014 Hua Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In the area of computer security, Intrusion Detection (ID) is a mechanism that attempts to discover abnormal access to computers by analyzing various interactions. There is a lot of literature about ID, but this study only surveys the approaches based on Artificial Immune System (AIS). The use of AIS in ID is an appealing concept in current techniques. This paper summarizes AIS based ID methods from a new view point; moreover, a framework is proposed for the design of AIS based ID Systems (IDSs). This framework is analyzed and discussed based on three core aspects: antibody/antigen encoding, generation algorithm, and evolution mode. Then we collate the commonly used algorithms, their implementation characteristics, and the development of IDSs into this framework. Finally, some of the future challenges in this area are also highlighted.