A Big Difference for Network Anomaly Data Feature Detection Algorithm of the Simulation Analysis
Jing Li · Jisuanji fangzhen · 2013
This paper put forward a network anomaly detection algorithm based on big difference data sets.The principal component analysis method was used to the data of the network operation,a difference judgement of strategy was introduced to ensure that differences can be effectively described with classified constraint.The identification e experiment results show that the improved algorithm can improve the accuracy of invasion of recognition.