Negative Selection: How to Generate Detectors

Ayara, Modupe and Timmis, Jon and de Lemos, Rogério and de Castro, Leandro N. and Duncan, Ross (2002) Negative Selection: How to Generate Detectors. In: Timmis, Jon and Bentley, Peter J., eds. ICARIS 2002. Unversity of Kent at Canterbury Printing Unit, University of Kent at Canterbury pp. 89-98. ISBN 1902671325. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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The immune system is a remarkable and complex natural system, which has been shown to be of interest to computer scientists and engineers alike. This paper reports an on-going investigation into the usefulness of the negative selection metaphor for immune inspired fault tolerance. Various procedures to generate detectors for the negative selection algorithm are reviewed and compared in terms of time and space complexity for the production of competent detectors. A new algorithm has been identified and implemented. Experimentation was undertaken, and an analysis is presented on the effectiveness of the various algorithms. The outcome of this empirical analysis reveals that trade-offs have to be made in the choice of algorithm based on the time and space complexities, as well as the detection rate.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: artificial immune systems, fault tolerance, embedded systems, negative selection
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 17:59
Last Modified: 02 Jul 2014 13:08
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