Immune system approaches to intrusion detection --- a review

Authors:
Jungwon Kim;Peter J. Bentley;Uwe Aickelin;Julie Greensmith;Gianni Tedesco;Jamie Twycross
Affiliations:
Department of Computer Science, University College London, London, UK;Department of Computer Science, University College London, London, UK;School of Computer Science, University of Nottingham, Nottingham, UK;School of Computer Science, University of Nottingham, Nottingham, UK;Firestorm Development Team, Bradford, UK;School of Computer Science, University of Nottingham, Nottingham, UK
Venue:
Natural Computing: an international journal
Year:
2007

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Abstract

The use of artificial immune systems in intrusion detection is an appealing concept for two reasons. First, the human immune system provides the human body with a high level of protection from invading pathogens, in a robust, self-organised and distributed manner. Second, current techniques used in computer security are not able to cope with the dynamic and increasingly complex nature of computer systems and their security. It is hoped that biologically inspired approaches in this area, including the use of immune-based systems will be able to meet this challenge. Here we review the algorithms used, the development of the systems and the outcome of their implementation. We provide an introduction and analysis of the key developments within this field, in addition to making suggestions for future research.