Algorithm of abnormal flow identification based on dynamic K-layer features model
Zheng Jian-rong · Journal of Computer Applications · 2012
This paper mainly addressed how to identify a mass of dada in NetFlow environment.It proposed an algorithm of abnormal flow identification based on dynamic K-layer feature model.With priority strategies,index table was opened reading the abnormal behavior and matching with eigenvalues one by one.When a match was done successfully,it was marked and the type of abnormal behavior was determined.The experimental result shows that it can identify the abnormal flow quickly and efficiently.It improves the efficiency of identification,and solves network security problems and achieves design goals.