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Immune-Based Dynamic Intrusion Response Model

  • SunJun Liu
  • Tao Li
  • Kui Zhao
  • Jin Yang
  • Xun Gong
  • JianHua Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4247)

Abstract

Inspired by the immunity theory, a new immune-based dynamic intrusion response model, referred to as IDIR, is presented. An intrusion detection mechanism based on self-tolerance, clone selection, and immune surveillance, is established. The method, which uses antibody concentration to quantitatively describe the degree of intrusion danger, is demonstrated. And quantitative calculations of response cost and benefit are achieved. Then, the response decision-making mechanism of maximum response benefit is developed, and a dynamic intrusion response system which is self-adaptation is set up. The experiment results show that the proposed model is a good solution to intrusion response in the network.

Keywords

Intrusion Detection Intrusion Detection System Response Strategy Artificial Immune System Attack Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • SunJun Liu
    • 1
  • Tao Li
    • 1
  • Kui Zhao
    • 1
  • Jin Yang
    • 1
  • Xun Gong
    • 1
  • JianHua Zhang
    • 1
  1. 1.School of Computer ScienceSichuan Univ.ChengduChina

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