P2P Traffic Identification Research Based on the SVM

被引:0
|
作者
Jiang, Du [1 ]
Tao, Long [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Dept Commun & Informat Engn, Chongqing, Peoples R China
关键词
P2P; traffic identification; Flow characteristics; SVM; CLASSIFICATION;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper first introduces the advantages and disadvantages of all kinds of P2P traffic identification method especially machine learning traffic identification method, and then puts forward a method of P2P traffic identification model based on SVM. We select three characteristics including the change of the mean square value of P2P traffic data packet size, the time of average flow duration and the ratio of the IP address number and port number to identify the network flow. The experimental results show that the method can effectively detect the P2P traffic of network flow.
引用
收藏
页码:683 / 686
页数:4
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