Network Users Behavior Analysis Based on CURE Algorithm
Jian Li · Computer Technology and Development · 2011
For analysing network user behavior based on network security,a network user behavior data model based on Netflow statistics is established.A framework of analysis is put forward.An analysis process is established.According to the consumer behavior of large storage network database,an appropriate clustering algorithm,called CURE algorithm,is chosen,which is improved based on actual application.Experiment results show that the improved algorithm is not only able to cluster,but also can distinguish the normal and abnormal behaviors.Analysed by harm behavior evaluating system,most of the abnormal behaviors belong to harm behaviors.For increment data on real net,it also gives the method of increment mining,which accords with the need of real time network analysing.