Abstract: P2P traffic has taken great portions in the network 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. I}he paper firstly introduced methods in identifying P2P traffic and their characters, then put forwards a Support Vector Machine (SVM) algorithm based on risk function which can be used to identify P2P traffic. Finally, a model was set up to fulfill the identification of P2P traffic. Experimental results show that the method is more suitable for practical recauirements of traffic identification and has a more accurate precision.

Key words: P2P,Traffic identification, Risk function, Support vector machine