基于贝叶斯技术的P2P流量识别方法的研究

Research on P2P Traffic Identification Method Based on Bayes

P2P技术的应用为人们提供了高效率的网络传输,同时这些应用也消耗了大量的网络带宽。为了有效地管理和控制不同类别的P2P流量,建立准确的P2P流量分类模型具有十分重要的理论意义和现实价值。基于贝叶斯分类技术,提出一种P2P流量分类方法,该方法利用网络流量的统计特征和基于统计理论的贝叶斯分类方法,对不同应用类型的P2P网络流量进行分类研究。实验结果表明,该方法具有较高的分类精确度。

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.