Bayesian Network Intrusion Detection Method Based on Feature Similarity
Huaibin Wang · Jisuanji gongcheng · 2011
The traditional Bayesian intrusion detection method can not consider the fact that their different actions have differences between data attributes.This paper uses similarity to select the attribute features of network connecting data,gets the main feature,reduces attribute redundancy to improve the traditional Bayesian classification performance.Experimental results show that this method can reduce the dimension of the classification data,and improve the classification accuracy.