A Novel Method of P2P Traffic Classification Based on TCP Flow Analysis

被引：0
作者：
Peng Jiangfen [1 ,2 ,3 ]
Zhou Yajian [1 ,2 ,3 ]
Wang Cong [1 ,2 ,3 ]
Yang Yixian [1 ,2 ,3 ]
机构：
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Informat Secur Ctr, Beijing, Peoples R China
[2] Beijing Univ Posts & Telecommun, MOE, Key Lab Network & Informat Attack & Def Technol A, Beijing, Peoples R China
[3] Beijing Univ Posts & Telecommun, Natl Engn Lab Disaster Backup & Recovery, Beijing, Peoples R China
来源：
2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL II | 2010年
基金：
中国国家自然科学基金;
关键词：
P2P; traffic classification; TCP flow; SVM;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Peer-to-Peer (P2P) applications have overtaken web stream as the most significant portions on the high-speed network, so P2P applications identification is important to a broad range of network operations. By deriving the transport/network layer headers of the packets of TCP flow, we obtained some attributes of all kinds of P2P traffic without relying on packet payload and port number, which leaded to a novel method for P2P traffic identification based on support vector machine (SVM). The method only needed to deal with the TCP packet of SYN and SYN+ACK flags. Experiment results show this method classifies the traffic achieved the high accuracy.
引用
收藏
页码：492 / 495
页数：4
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