Network Intrusion Detection Based on Dynamic Self-Organizing Map
作者： Baoping Gu , Hongyan Guo
DOI: 10.1007/978-3-642-35419-9_23
关键词:
摘要: Self-organizing map (SOM) is getting more attention in the intrusion detection. Considering current detection system with high false alarm rate and low rate, this paper introduces a simple modification to SOM that eliminates learning weight update, trust degree, adds automatic clustering. The improved (DSOM) implemented applied validities feasibilities of DSOM are confirmed through experiments on KDD Cup 99 dataset. experimental result shows has been increased by employing DSOM.
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