Sensing Danger: Innate Immunology for Intrusion Detection

Aickelin, Uwe; Greensmith, Julie

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

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

• Journal Article Type: Article
• Online Publication Date: Oct 22, 2007
• Publication Date: Oct 22, 2007
• Deposit Date: Oct 2, 2007
• Publicly Available Date: Nov 9, 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
• DOI: https://doi.org/10.1016/j.istr.2007.10.003
• Keywords: immunology, innate immunology, intrusion detection,
• Public URL: https://nottingham-repository.worktribe.com/output/1017122
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1363412707000544