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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Analysis of P2P Traffic Identification Methods

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Author Yan Liu, Yulong Yang
ISSN 2079-8407
On Pages 490-493
Volume No. 4
Issue No. 5
Issue Date June 01, 2013
Publishing Date June 01, 2013
Keywords P2P, dpi, characteristic code of application layer, traffic identification


Abstract

With the development of the P2P traffic, it brings us various kinds of services, but it also take over a large amount of network resources. Because of this, it affects other services which make it become the hot topic of academic research. As research continues, more and more identification methods are proposed. This paper introduces several popular identification methods from now on. We find P2P traffic shares about 67.79% network traffic by connection mode. Furthermore, we have tested out that some kinds of application software’s P2P traffic take over how much network traffic by the characteristic value of application level through mass data. And 29.19 % is accurately found by us which is the software take over.
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