Abstract:

P2P network traffic classification is very important for network management and network security. Because of the diverse development of P2P traffic currently, it is difficult for any single traditional P2P traffic classification method to classify P2P traffic accurately. By analyzing the current status of P2P traffic classification methods, We propose a multilevel P2P traffic classification method based on the advantages of the existing P2P traffic classification methods. It is composed of four P2P traffic modules, and the division of labor and feedback mechanism between the modules can promote the effect of P2P traffic classification. Experimental results verify its accuracy and efficiency.

Key words: P2P flow, traffic classification, multiple levels, feedback mechanism, module collaboration