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MA Rui, LIU Yu-shu, DU Yan-hui. Intrusion Detection Approach Using Connectionist Expert System[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2005, 14(4): 467-470.
Citation: MA Rui, LIU Yu-shu, DU Yan-hui. Intrusion Detection Approach Using Connectionist Expert System[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2005, 14(4): 467-470.
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Intrusion Detection Approach Using Connectionist Expert System

  • 1.

    School of Software, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    Department of Information Security Science, Chinese People's Public Security University, Beijing 100038, China

  • Received Date:2004-04-14
    Abstract
  • In order to improve the detection efficiency of rule-based expert systems, an intrusion detection approach using connectionist expert system is proposed. The approach converts the AND/OR nodes into the corresponding neurons, adopts the three-layered feed forward network with full interconnection between layers, translates the feature values into the continuous values belong to the interval [0,1], shows the confidence degree about intrusion detection rules using the weight values of the neural networks and makes uncertain inference with sigmoid function. Compared with the rule-based expert system, the neural network expert system improves the inference efficiency.
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    • References (8)
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