Research of P2P and Normal Network Traffic Classification Method Based on Support Vector Machine
This paper presents a SVM-based method which classified the P2P network traffic and normal network traffic.This method uses the entropy for the network′s characteristic value and classifies network traffic is realized in the experimental environment of campus networks.This paper describes the method of data pretreatment,and discusses the impact of preferences to the classification experiment.The experimental results show that the chosen character and parameter is effectual for the network traffic classification,the SVM-based method has a high classification precision for network traffic.