The rapid development of P2P network applications has brought about network security loopholes and hidden dangers. How to effectively monitor P2P flows and perform relevant flow identification, flow screening, and flow control is an important issue in flow management. By analyzing the P2P protocol and signature features, a P2P flow analysis method based on signature features is proposed. Through experimental analysis of relevant P2P application software, the signature features of the relevant software are obtained, and whether the network data flow is a P2P flow is determined. It can effectively improve the efficiency of P2P flow identification and solve problems such as excessive detection information and information filtering performance bottlenecks.
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