In order to solve the low speed in constringency, getting into local minimum easily and the heavy calculating problem of traditional BP NN, an optimized Levenberg-Marquardt(LM)arithmetic is presented. The arithmetic constructed IDS with optimized BP NN based on a successful misuse IDS. For taking advantage of the anomaly IDS and misuse IDS, experiments prove the new IDS has lower rate of false alert and omitting alert, it could recognise unknown attacks rapidly.
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汪坦岳,秦拯,陶建明. 基于LM-BP神经网络的入侵检测系统的研究[J]. 科学技术与工程, 2006, (19): 3122-3125. WANG Tanyue, QIN Zheng, TAO Jianming. The Research of Intrusion Detection System Based on LM-BP Neural Network[J]. Science Technology and Engineering,2006,(19):3122-3125.