Paper
17 March 2008 An improved clone selection immune algorithm
Peili Qiao, Tong Wang, Jie Su
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peili Qiao, Tong Wang, and Jie Su "An improved clone selection immune algorithm", Proc. SPIE 6973, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008, 69730O (17 March 2008); https://doi.org/10.1117/12.772464
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Sensors

Detection and tracking algorithms

Data communications

Binary data

Genetic algorithms

Computer intrusion detection

Data modeling

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