Method of misuse intrusion detection based on fuzzy Petri nets

Sheng Jun Wei*, Chang Zhen Hu, Ming Qian Sun

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

A method of misuse intrusion detection based on fuzzy Petri nets is proposed, and the learning ability similar to neural networks introduced into fuzzy Petri nets to adjust the parameters of attack knowledge model. Analysis indicated that, in the misuse detection system based on fuzzy Petri nets, the reasoning efficiency seemed to be improved, and the parameters such as threshold, weights and belief strength can be learned from the environment dynamically. Test results displayed that, under most circumstances, system detection rate was increased when the attack knowledge model was adjusted after learning.

源语言英语
页(从-至)312-317
页数6
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
27
4
出版状态已出版 - 4月 2007

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