关键词: 贝叶斯, 流量分类, P2P

Abstract: The application of P2P technology offers a highly efficient network transmission, and at the same time, these applications also consumes a large number of network bandwidth. In order to effectively manage and control the traffic of different types of P2P, the establishment of an accurate classification model has a great important theoretical and practical value. A method, based on the Naive Bayesian, to realize the P2P network traffic classification, is proposed, which employs the network traffic statistical characteristics and Naive Bayesian method based on the statistical theory to classify the different P2P traffic application. The experimental results show that the method has greater classification accuracy.

Key words: Bayes, traffic classification, P2P