• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

Application of the Supporting Vector Machine in P2P Traffic Identification

  • PAN Shan-Rong ,
  • FU Meng ,
  • SHI Chang-Qiong
Expand
  • (School of Computer and Communication Engineering,Changsha University of Science and Technology,Changsha 410076)

Received date: 2008-06-13

  Revised date: 2008-10-10

  Online published: 2010-01-26

Abstract

This paper puts forward a method of P2P traffic identification based on SVM. Using the doublevalue classification and the essential characteristics of SVM, we classify the data packages of the Internet into the P2P class and the nonP2P class; using the method's ability to classify multiple category problems, we further denote the P2P stream as a specified protocol.The experimental results show that the method has a high identification rate,which shows the effectiveness of using the SVM technology in the identification of the P2P traffic.

Cite this article

PAN Shan-Rong , FU Meng , SHI Chang-Qiong . Application of the Supporting Vector Machine in P2P Traffic Identification[J]. Computer Engineering & Science, 2010 , 32(2) : 38 -40 . DOI: 10.3969/j.issn.1007130X.2010.

Outlines

/