Sensing Danger: Innate Immunology for Intrusion Detection

Aickelin, Uwe and Greensmith, Julie (2007) Sensing Danger: Innate Immunology for Intrusion Detection. Information Security Technical Report . ISSN 1363-4127 (In Press)

[img] PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (565kB)

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

Item Type: Article
Uncontrolled Keywords: immunology, innate immunology, intrusion detection,
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 02 Oct 2007
Last Modified: 09 Nov 2007 12:11
URI: http://eprints.nottingham.ac.uk/id/eprint/392

Actions (Archive Staff Only)

Edit View Edit View