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Learning Vector Quantization Neural Network Method for Network Intrusion Detection
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作者 YANG Degang CHEN Guo +1 位作者 WANG Hui LIAO Xiaofeng 《Wuhan University Journal of Natural Sciences》 CAS 2007年第1期147-150,共4页
A new intrusion detection method based on learning vector quantization (LVQ) with low overhead and high efficiency is presented. The computer vision system employs LVQ neural networks as classifier to recognize intr... A new intrusion detection method based on learning vector quantization (LVQ) with low overhead and high efficiency is presented. The computer vision system employs LVQ neural networks as classifier to recognize intrusion. The recognition process includes three stages: (1) feature selection and data normalization processing;(2) learning the training data selected from the feature data set; (3) identifying the intrusion and generating the result report of machine condition classification. Experimental results show that the proposed method is promising in terms of detection accuracy, computational expense and implementation for intrusion detection. 展开更多
关键词 intrusion detection learning vector quantization neural network feature extraction
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