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Immune system approaches to intrusion detection - a review

Kim, Jungwon; Bentley, Peter; Aickelin, Uwe; Greensmith, Julie; Tedesco, Gianni; Twycross, Jamie

Authors

Jungwon Kim

Peter Bentley

Uwe Aickelin

Gianni Tedesco



Abstract

The use of artificial immune systems in intrusion detection is an appealing concept for two reasons. Firstly, 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. Secondly, 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.

Citation

Kim, J., Bentley, P., Aickelin, U., Greensmith, J., Tedesco, G., & Twycross, J. (2007). Immune system approaches to intrusion detection - a review. Natural Computing, 6(4), 413-466

Journal Article Type Article
Acceptance Date Oct 1, 2007
Publication Date Dec 1, 2007
Deposit Date Nov 9, 2007
Publicly Available Date Dec 1, 2007
Journal Natural Computing
Print ISSN 1567-7818
Electronic ISSN 1567-7818
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 6
Issue 4
Pages 413-466
Keywords Intrusion detection, immunology, immune system
Public URL http://eprints.nottingham.ac.uk/id/eprint/571
Publisher URL https://link.springer.com/article/10.1007%2Fs11047-006-9026-4
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
Additional Information The original publication is available at https://link.springer.com/article/10.1007%2Fs11047-006-9026-4

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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