Sensing Danger: Innate Immunology for Intrusion Detection

23 Pages Posted: 17 Aug 2016

See all articles by Uwe Aickelin

Uwe Aickelin

University of Nottingham, Ningbo

Date Written: January 1, 2007

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.

Suggested Citation

Aickelin, Uwe, Sensing Danger: Innate Immunology for Intrusion Detection (January 1, 2007). Available at SSRN: https://ssrn.com/abstract=2824153 or http://dx.doi.org/10.2139/ssrn.2824153

Uwe Aickelin (Contact Author)

University of Nottingham, Ningbo ( email )

199 Taikang East Road
Ningbo, Zhejiang 315100
China

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