On the appropriateness of negative selection defined over hamming shape-space as a network intrusion detection system

Thomas Stibor, Jonathan Timmis, Claudia Eckert

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

42 Scopus citations

Abstract

Artificial immune systems have become popular in recent years as a new approach for intrusion detection systems. Indeed, the (natural) immune system applies very effective mechanisms to protect the body against foreign intruders. We present empirical and theoretical arguments, that the artificial immune system negative selection principle, which is primarily used for network intrusion detection systems, has been copied to naively and is not appropriate and not applicable for network intrusion detection systems.

Original languageEnglish
Title of host publication2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
Pages995-1002
Number of pages8
StatePublished - 2005
Externally publishedYes
Event2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland, United Kingdom
Duration: 2 Sep 20055 Sep 2005

Publication series

Name2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
Volume2

Conference

Conference2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005
Country/TerritoryUnited Kingdom
CityEdinburgh, Scotland
Period2/09/055/09/05

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