Application Study on Network Security Based on Association Rule
Yi Liu · Jisuanji fangzhen · 2011
Study on network security protection,network intrusion has diversity,uncertainty and concealment,because safety detection is easily mistaken and missed,unknown intrusion behavior cannot be detected correctly to detection accuracy is relatively low.In order to improve the network intrusion detection rate,protect network security better,this paper proposed a network intrusion detection method based on the association rules.Firstly,the network user normal behavior is mined by association rule to find the credible and representative rules,and then using association rules to detect user behavior.The simulation experiment is carried out on KDD CUP99 data set,the simulation results show that the proposed method can accelerate the detection speed and improve the network intrusion detection rate,reduce the false negative rate and false alarm rate,can offer the reference for the design of network protection.