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计算机工程 ›› 2010, Vol. 36 ›› Issue (5): 114-115. doi: 10.3969/j.issn.1000-3428.2010.05.042

• 网络与通信 • 上一篇    下一篇

基于统计特征的P2P流量检测方法

李 鑫,刘东林   

  1. (华东理工大学信息科学与工程学院,上海 200237)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-03-05 发布日期:2010-03-05

P2P Traffic Detection Method Based on Statistical Characteristic

LI Xin, LIU Dong-lin   

  1. (College of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-03-05 Published:2010-03-05

摘要: 针对传统的流量检测方法在应对P2P流量时不够准确和高效的问题,分析P2P协议的TCP/IP协议栈,提出一种新的基于统计特征的P2P流量检测方法,结合神经网络对P2P流量进行识别。实验结果表明,该方法能有效、准确地判断网络数据流是否为P2P类别。

关键词: P2P网络, 协议栈, 统计特征, 神经网络

Abstract: With rapid development of P2P technology and its protocol complexity, traditional P2P traffic identification solution is not accurate and efficient. Aiming at this problem, this paper proposes a solution based on new P2P statistic characteristic and neural network to identify P2P traffic. Experimental results show that this method has proper accuracy on P2P traffic identification.

Key words: P2P network, protocol stack, statistic characteristic, neural network

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