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

被引：0

作者：

Peng Jianfen ^{[1
]}

Zhou Yajian ^{[1
]}

Wang Cong ^{[1
]}

Yang Yixian ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Informat Secur Ctr, State Key Lab Networking & Switching Technol, Beijing 100088, Peoples R China

来源：

AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION | 2012年 / 137卷

关键词：

P2P; traffic classification; TCP flow; SVM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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

页码：521 / 528

页数：8

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