• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (2): 38-40.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • Previous Articles     Next Articles

Application of the Supporting Vector Machine in P2P Traffic Identification

  

  1. (School of Computer and Communication Engineering,Changsha University of Science and Technology,Changsha 410076)
  • Received:2008-06-13 Revised:2008-10-10 Online:2010-01-25 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.

Key words: SVM;P2P;traffic identification

CLC Number: