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Sensing Danger: Innate Immunology for Intrusion Detection

Aickelin, Uwe; Greensmith, Julie

Authors

Uwe Aickelin

Julie Greensmith



Abstract

The immune system provides an ideal metaphor for anomaly detection in general and computer security in particular. Based on this idea, artificial immune systems have been used for a number of years for intrusion detection, unfortunately so far with little success. However, these previous systems were largely based on immunological theory from the 1970s and 1980s and over the last decade our understanding of immunological processes has vastly improved. In this paper we present two new immune inspired algorithms based on the latest immunological discoveries, such as the behaviour of Dendritic Cells. The resultant algorithms are applied to real world intrusion problems and show encouraging results. Overall, we believe there is a bright future for these next generation artificial immune algorithms

Journal Article Type Article
Publication Date Oct 22, 2007
Journal Information Security Technical Report
Print ISSN 1363-4127
Electronic ISSN 1363-4127
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 12
Issue 4
Pages 218-227
APA6 Citation Aickelin, U., & Greensmith, J. (2007). Sensing Danger: Innate Immunology for Intrusion Detection. Information Security Technical Report, 12(4), 218-227. https://doi.org/10.1016/j.istr.2007.10.003
DOI https://doi.org/10.1016/j.istr.2007.10.003
Keywords immunology, innate immunology, intrusion detection,
Publisher URL https://www.sciencedirect.com/science/article/pii/S1363412707000544
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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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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