Intrusion Detection System Based on Immune Algorithm and Support Vector Machine in Wireless Sensor Network

  • Yu Sheng Chen
  • Yu Sheng Qin
  • Yu Gui Xiang
  • Jing Xi Zhong
  • Xu Long Jiao
Part of the Communications in Computer and Information Science book series (CCIS, volume 86)

Abstract

In order to improve the reality and whole performance of network intrusion detection system (IDS), after the characteristics of data used in IDS were analyzed, an approach, in which intruders are recognized, was presented in the paper, which was based on immune algorithm (IA) and support vector machine (SVM). In this method, immune algorithm is used to preprocess the network data, SVM is adopted to classify the optimization data, and recognize intruders. Experimental results showed that the method was feasible and efficient.

Keywords

Intrusion Detection System (IDS) immunity algorithm (IA) support vector machine (SVM) Feature selection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yu Sheng Chen
    • 1
  • Yu Sheng Qin
    • 2
  • Yu Gui Xiang
    • 3
  • Jing Xi Zhong
    • 4
  • Xu Long Jiao
    • 4
  1. 1.Computer Science DepartmentNorth China University of Science & TechnologyBeijingChina
  2. 2.Gu Yuan Earthquake Platform of Earthquake Bureau of Ning Xia ProvinceGu Yuan
  3. 3.Beijing Zhao Fang Investment Trust Co., Ltd.Beijing
  4. 4.Kongzhuang mine, Shanghai Energy Co., Ltd.Xuzhou

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