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Proceedings Paper

An improved clone selection immune algorithm
Author(s): Peili Qiao; Tong Wang; Jie Su
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Paper Abstract

Antibody had a detecting effect in immune system. Simulating the generating and evolution and working process of the antibody in immune system is the key to build an immune-based intrusion detection system (IDS). This paper proposes a clone selection immune algorithm based on T-cell immunity. In this algorithm we adopt novel genotype and phenotype representations integrated with matching rule, which can show flexibly the 'or' relation between the rules for classifying. Besides, it makes generating detector more effective by introducing negative selection operator.

Paper Details

Date Published: 17 March 2008
PDF: 6 pages
Proc. SPIE 6973, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008, 69730O (17 March 2008); doi: 10.1117/12.772464
Show Author Affiliations
Peili Qiao, Harbin Univ. of Science and Technology (China)
Tong Wang, Harbin Univ. of Science and Technology (China)
Jie Su, Harbin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6973:
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008
William J. Tolone; William Ribarsky, Editor(s)

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