Adaptive hybrid immune detector maturation algorithm

Authors:
Jungan Chen;Wenxin Chen;Feng Liang
Affiliations:
Electronic Information Department, Zhejiang Wanli University, Zhejiang, China;Electronic Information Department, Zhejiang Wanli University, Zhejiang, China;Electronic Information Department, Zhejiang Wanli University, Zhejiang, China
Venue:
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Year:
2010

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Abstract

In this work, a novel Adaptive Hybrid Immune Detector Maturation Algorithm is proposed for anomaly detection T-detector Maturation Algorithm and Dynamic Negative Selection Algorithm are combined with a new state transformation model Experiment results show that the proposed algorithm solves the population-adapt problem and can generate detectors with higher affinity.