Intrusion Detection Using PCASOM Neural Networks
Intrusion Detection Using PCASOM Neural Networks
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DOI：
10.1007/11760191_35
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发表时间：
2006-05
期刊：
影响因子：
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通讯作者：
Guisong Liu;Zhang Yi
中科院分区：
文献类型：
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作者：
Guisong Liu;Zhang Yi
This paper proposes a method to detect network intrusions by using the PCASOM (principal components analysis and self-organizing map) neural networks. A modified unsupervised learning algorithm which is more suitable for intrusion detection is presented. Experiments are carried out to illustrate the performance of the proposed method by using DARPA 1998 evaluation data sets. It shows that the proposed method can cluster the network connections into proper clusters with high detection rate and relatively low false alarm rate.
