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Research on the Application of Distributed Intrusion Detection System Based on Election Algorithm

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Human Centered Computing (HCC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8944))

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Abstract

Distributed intrusion detection system, as a kind of important security defense technology, is widely used in all kinds of information network system. In this thesis, the detection overhead host node values are determined by application of exponential scale method, through the qualitative judgment and quantitative calculation. A distributed election algorithm is also proposed, master control center elected by the actual cost of the value of nodes, which greatly improve the overall defense capability of intrusion detection system. The main control center of the election can optimizer such key factors as reliabilities of current network bandwidth, link and detection subsystem performance at real-time, and make the system resources obtain the reasonable use, and greatly improve the overall defense capability of intrusion detection system.

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Author information

Authors and Affiliations

  1. Anhui Wonder University of Information Engineering, Hefei, Anhui, China

    Wuqi Wang

  2. Shangdong Vocational College of Foreign Affairs Translation, Weihai, Shandong, China

    Zhi-min Yang & Gong Peng

Authors
  1. Wuqi Wang
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  2. Zhi-min Yang
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  3. Gong Peng
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Corresponding authors

Correspondence to Wuqi Wang or Zhi-min Yang .

Editor information

Editors and Affiliations

  1. Wuhan University of Technology, Wuhan, China

    Qiaohong Zu

  2. Fujitsu Laboratories of Europe, Middlesex, United Kingdom

    Bo Hu

  3. Fudan University, Shanghai, China

    Ning Gu

  4. Telecommunications and Information Communication Technology, National Institute of Posts, Phnom Penh, Cambodia

    Sopheap Seng

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© 2015 Springer International Publishing Switzerland

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Wang, W., Yang, Zm., Peng, G. (2015). Research on the Application of Distributed Intrusion Detection System Based on Election Algorithm. In: Zu, Q., Hu, B., Gu, N., Seng, S. (eds) Human Centered Computing. HCC 2014. Lecture Notes in Computer Science(), vol 8944. Springer, Cham. https://doi.org/10.1007/978-3-319-15554-8_55

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  • DOI: https://doi.org/10.1007/978-3-319-15554-8_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15553-1

  • Online ISBN: 978-3-319-15554-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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