P2P Traffic Identification Based on Wavelet Neural Network

被引：0

作者：

Li, Ming ^{[1
]}

Jia, Bo ^{[1
]}

机构：

[1] Zhejiang Gongshang Univ, Sch Informat & Elect Engn, Hangzhou, Zhejiang, Peoples R China

来源：

2011 AASRI CONFERENCE ON INFORMATION TECHNOLOGY AND ECONOMIC DEVELOPMENT (AASRI-ITED 2011), VOL 1 | 2011年

关键词：

P2P; traffic identification; neural network; wavelet analysis; identification model;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Accurate identification of P2P traffic in the network management and monitoring play an important role in the further flow control has important practical significance. In this paper, neural network and quickly identify the real advantages of learning, a wavelet neural network based on P2P traffic identification method. In real network environment, through the establishment of network model for MSN, PPlive other mainstream P2P application testing. Statistical analysis and extract a variety of traffic characteristics, the use of wavelet neural network P2P application traffic characteristics of the study and identification, obtained more than 95% recognition accuracy, to verify its effectiveness.

引用

页码：127 / 130

页数：4