J4 ›› 2010, Vol. 32 ›› Issue (2): 38-40.doi: 10.3969/j.issn.1007130X.2010.
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Abstract:
This paper puts forward a method of P2P traffic identification based on SVM. Using the doublevalue classification and the essential characteristics of SVM, we classify the data packages of the Internet into the P2P class and the nonP2P 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:
TP393.03
PAN Shan-Rong, FU Meng, SHI Chang-Qiong. Application of the Supporting Vector Machine in P2P Traffic Identification[J]. J4, 2010, 32(2): 38-40.
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URL: http://joces.nudt.edu.cn/EN/10.3969/j.issn.1007130X.2010.
http://joces.nudt.edu.cn/EN/Y2010/V32/I2/38