Intrusion Detection Method Based on An Improved Bayesian Algorithm
Weiping Wang · Jisuanji gongcheng · 2006
Bayes classifier model is a powerful tool for classifying attack types in intrusion detection.This paper proposes an improved Bayesian algorithm model,which improves the traditional Bayesian algorithm and weakens the strong independence relation assumption of Naive Bayes.Then,it offers an experimental study and analysis,which shows that this improved Bayes classifier algorithm model enhances the classified precision of the intrusion detection.Finally,it points out the direction of the further study.