P2P Traffic Identification Using Variance Analysis and Support Vector Machine Algorithm
基于方差分析和支持向量机技术的P2P流量检测

P2P traffic has taken great portions in the Internet traffic. While having a significant impact on the Internet,it brings serious problems such as network congestion and traffic hindrance caused by the excessive occupation in the bandwidth. The paper firstly introduced methods in identifying P2P traffic and their characters, then put forwards a P2P traffic feature selection method by exploring analysis of variance. Meanwhile a model based on Support Vector Machine (SVM) algorithm was set up to fulfill the quasi-real-time identification of P2P traffic. Experimental results show that the method is efficiency for P2P traffic identification and has a more accurate precision.