南昌工程学院学报2012，Vol.31Issue(3)：15-19,5.
基于数据融合的P2P业务识别研究
Research on P2P services recognition based on data fusion
贾红雯 1武斌1
作者信息
- 1. 滁州职业技术学院信息工程系,安徽滁州239000
- 折叠
摘要
Abstract
Combining the existing traffic analysis methods,this paper creatively puts forward a new traffic analysis model,offers detailed explanations of the arithmetic, brings the data fusion technology to the P2P service recognition work, and presents the service recognition technology based On the traffic characteristics. The output of the BP neural network,which is based on the P2P service traffic characteristics without checking the data payload, is used as the input of the D S theory of evidence, and then proper functions and the trusty rules are chosen to recognize the P2P service. The experimental results show that the tech- nology can be used to recognize P2P service quickly and accurately.关键词
对等网络/数据融合/业务识别/D_S证据理论Key words
peer-to-peer/data fusion/service recognition/D_S theory of evidence分类
信息技术与安全科学引用本文复制引用
贾红雯,武斌..基于数据融合的P2P业务识别研究[J].南昌工程学院学报,2012,31(3):15-19,5.
