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

共 18 条

[1] [Anonymous], 2004, AVIAN DIS
[2] [Anonymous], P 5 IEEE INT S NETW
[3] [Anonymous], 2004, P 4 ACM SIGCOMM C IN, DOI DOI 10.1145/1028788.1028805
[4] [Anonymous], 2008, INTERNET STUDY
[5] Bayesian neural networks for Internet traffic classification
Auld, Tom
Moore, Andrew W.
Gull, Stephen F.
[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18 (01): : 223 - 239
[6] Christianini N., 2000, INTRO SUPPORT VECTOR, P189
[7] Constantinou F, 2006, NCA 2006: FIFTH IEEE INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS, PROCEEDINGS, P93
[8] Crotti M, 2006, IEEE ICC, P170
[9] Erman Jeffrey., 2006, Proceedings of the 2006 SIGCOMM workshop on Mining Network Data, P281
[10] Gao Z., 2009, 2 INT WORKSH KNOWL D, P909

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