Improving the generalization capability of hybrid immune detector maturation algorithm

  • Authors:
  • Jungan Chen;Feng Liang;Zhaoxi Fang

  • 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'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
  • Year:
  • 2012

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Abstract

In this work, an augmented hybrid immune detector maturation algorithm applied in anomaly detection is proposed to improve the generalization capability. Experiment results show the algorithm is more effective and its generalization capability to detect more similar patterns is improved.