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In order to effectively supervise the network, quickly and accurately identify the peer-to-peer flow, by analyzing the interaction and behavior characteristics between nodes and nodes, nodes and links in peer-to-peer network traffic, this paper proposed a method of peer-to-peer traffic recognition based on network behavior features is by combining clustering method with flow propagation graph method. Firstly, it collected the flow rate of different kinds of network by collecting packet level and flow level statistic feature of network flow, and then it identified the peer-to-peer flow by using traffic graph. The experimental results show that the proposed method can effectively identify peer-to-peer network application traffic in backbone network data, and the F1-measure reaches over 95%. [ABSTRACT FROM AUTHOR]