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Research on Intrusion Detection Method Based on Neural Network

This paper describes in Using Self-Organizing Map (SOM) neural networks and its auto-clustering ability to study intrusion detection. The feature pattern of each SOM unit is constructed using PCA feature extraction method and a simplified PCASOM model is proposed. An online learning algorithm is also given and its properties are analyzed. And then the simulation result was given.