Traffic Features Fit for P2P Discrimination

Author

Matsuda, Takashi ; Nakamura, Fumitaka ; Wakahara, Yasushi ; Tanaka, Yoshiaki

Author_Institution

Inst. of Global Inf. & Telecommun., Waseda Univ., Tokyo

fYear

2005

fDate

10-10 Nov. 2005

Firstpage

230

Lastpage

235

Abstract

With the rapid development of the Internet, the P2P (peer-to-peer) technology which is characterized by no utilization of any servers with centralized functions has kept advancing apace. However, the wide use of the P2P application has lead to the illegal file sharing in addition to the rapid growth of network traffic. Thus, it has become an urgent requirement to discriminate the users of P2P file sharing application from other users. This paper proposes some features including "new connection rate" of P2P application traffic to achieve its discrimination. SVM (support-vector-machine) is applied to the discrimination based on these features in order to automate the processing of the discrimination, and its accuracy is demonstrated as a result of some experiments

Keywords

Internet; peer-to-peer computing; support vector machines; telecommunication traffic; Internet; P2P discrimination; SVM; file sharing; network traffic; peer-to-peer technology; support-vector-machine; traffic features; Internet; Network servers; Peer to peer computing; Support vector machines; Telecommunication traffic; Web server; File sharing; P2P; TCP Session; Traffic; Winny;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Telecommunication Technologies, 2005. APSITT 2005 Proceedings. 6th Asia-Pacific Symposium on

Conference_Location

Yangon

Print_ISBN

4-88552-216-1

Type

conf

DOI

10.1109/APSITT.2005.203662

Filename

1593469