Network Intrusion Feature Optimization Simulation Test Method
Huang Qing-ta · Jisuanji fangzhen · 2013
Research the accurate detection of network intrusion feature. The camouflage degree of network intrusion characteristic is higher and higher,which leads to intrusion detection inaccurate. The paper proposed a sensitivity data mining network intrusion detection algorithm. A principal component analysis method was used to extract the main components in the network operation data,and redundant data were removed. The sensitivity data mining method was used to obtain network operation data from malicious invasion operation behavior characteristics and to complete the characteristics of network intrusion detection. The simulation results show that the improved algorithm can accurately obtain anomaly characteristics of the network operation behavior.