A Classification Method of Unstructured P2P Multicast Video Streaming Based on SVM

被引：4
|
作者：
Liu, Chaobin [1 ]
Yang, Yuexiang [1 ]
Tang, Chuan [2 ]
机构：
[1] Natl Univ Def Technol, Sch Comp Sci, Changsha, Hunan, Peoples R China
[2] Natl Univ Def Technol, Informat Ctr, Changsha, Hunan, Peoples R China
来源：
MINES 2009: FIRST INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY, VOL 1, PROCEEDINGS | 2009年
基金：
美国国家科学基金会;
关键词：
unstructured P2P multicast video streaming; behavior feature; classification; SVM;
D O I：
10.1109/MINES.2009.28
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The classification of unstructured P2P multicast video streaming is the premise for playing online linkage and real-time evidence in the process of network monitoring management. A new classification method is demonstrated, and some real-time protocol behavior features are figured in this paper, which is found out through distinguishing packet type and transmission direction. With these accessible features a multi-classification support vector machine is built to identify applications of unstructured P2P multicast video streaming. The result of experiment shows that the method has high identification accuracy and satisfying real-time characteristic.
引用
收藏
页码：68 / +
页数：2
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