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Volume 30 Issue 09
Sep.  2004
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Journal of Beijing University of Aeronautics and Astronautics  > 2004  >  30(09): 803-807.
Qian Depei, Zhang Ran, Bai Yuebinet al. UML-based analysis method for collaborative intrusion detection system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(09): 803-807. (in Chinese)
Citation: Qian Depei, Zhang Ran, Bai Yuebinet al. UML-based analysis method for collaborative intrusion detection system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(09): 803-807. (in Chinese)
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UML-based analysis method for collaborative intrusion detection system

  • 1.

    School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • 2. Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China

  • Received Date: 02 Jun 2003
  • Publish Date: 30 Sep 2004
    Abstract
  • To enhance the capability of detecting distributed attacks, a general model of distributed collaborative intrusion detection was proposed, which is based on multi-agent. It achieves detection of complex attacks through coordinating the lower-level agents using coordination agents. Unified modeling language (UML) was employed to analyze and design the main functions and the static structure of the model, the inner reasoning behavior of agents and the cooperating behavior among agents. UML provides an effective means for the analysis and design of collaborative intrusion detection system, which facilitates its integration with other security systems.

     

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    • References(1)
  • [1] 刘 超, 张 莉. 可视化面向对象建模技术——标准建模语言UML教程[M]. 北京:北京航空航天大学出版社, 1999 Liu Chao, Zhang Li. Visual object-oriented modeling technology—course of standard modeling language UML[M]. Beijing:Beijing University of Aeronautics and Astronautics Press,1999(in Chinese) [2] Zhang Ran, Qian Depei, Bao Chongming, et al. Multi-agent based intrusion detection architecture . 2001 International Conference on Computer Networks and Mobile Computing . New York:IEEE Press, 2001. 494~501
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