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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2010年第24期9-11,14,共4页
Computer Engineering
基金
国家"863"计划基金资助项目(2008AA01Z407)
关键词
P2P—TV流量
精细识别
典型平台
频道签名
P2P-TV traffic
fine-grained identification
typical platform
channel signature