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计算机工程 ›› 2010, Vol. 36 ›› Issue (24): 9-11. doi: 10.3969/j.issn.1000-3428.2010.24.004

• 博士论文 • 上一篇    下一篇

基于频道签名的P2P-TV流量精细识别

张 鑫,李 进,王 晖   

  1. (国防科技大学信息系统与管理学院,长沙 410073)
  • 出版日期:2010-12-20 发布日期:2010-12-14
  • 作者简介:张 鑫(1978-),男,讲师、博士,主研方向:多媒体信息处理,机器学习;李 进,硕士研究生;王 晖,教授、博士、博士生导师
  • 基金资助:
    国家“863”计划基金资助项目(2008AA01Z407)

Fine-grained Identification of P2P-TV Traffic Based on Channel Signatures

ZHANG Xin, LI Jin, WANG Hui   

  1. (School of Information System & Management, National University of Defense Technology, Changsha 410073, China)
  • Online:2010-12-20 Published:2010-12-14

摘要: 提出一种基于频道签名特征的P2P-TV流量精细识别方法。该方法通过对净流量数据进行统计分析实现频道签名的挖掘,借助频道签名匹配实现精细到单个(IP, Port)、具体到某一平台某一频道的流量识别。针对PPStream、QQLive、UUSee平台的实验结果表明,该方法能有效识别P2P-TV流量对应的平台与频道,且识别精度较高。

关键词: P2P-TV流量, 精细识别, 典型平台, 频道签名

Abstract: This paper proposes a fine-grained identification method of P2P-TV traffic based on channel signatures. It mines the channel signatures of popular P2P-TV applications through statistical analysis on their pure traffics. Channel signature matching is used to realize fine-grained identification of the application and channel of the traffic on a particular(IP, Port). Experimental results on PPStream, QQLive and UUSee prove that the method proposed is effective and accurate.

Key words: P2P-TV traffic, fine-grained identification, typical platform, channel signature

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