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多层次P2P流量分类方法研究
引用本文:陈源,林海涛.多层次P2P流量分类方法研究[J].计算机工程与科学,2016,38(12):2471-2477.
作者姓名:陈源  林海涛
作者单位:;1.海军工程大学电子工程学院
基金项目:国家863计划(2009AA01Z205);国家重点科学专项项目(2010ZX03003 001)
摘    要:P2P网络流量分类对网络管理和网络安全有着十分重要的意义,由于目前P2P流量多样化的发展,传统单一的P2P流量分类方法很难对其准确分类。通过分析现阶段P2P流量分类方法的现状,结合现有P2P流量分类方法的优点,提出了多层次P2P流量分类方法,该方法由四个P2P流量分类模块组成,模块间采用分工协作及反馈机制来提升P2P流量分类的效果。实验表明该方法可以有效提升P2P流量分类准确率和效率。

关 键 词:P2P流量  流量分类  多层次  反馈机制  模块协作
收稿时间:2015-09-14
修稿时间:2016-12-25

A multi level P2P traffic classification method
CHEN Yuan,LIN Hai tao.A multi level P2P traffic classification method[J].Computer Engineering & Science,2016,38(12):2471-2477.
Authors:CHEN Yuan  LIN Hai tao
Affiliation:(College of Electronics Engineering,Naval University of Engineering,Wuhan 430033,China)
Abstract:P2P network traffic classification is very important for network management and network security. Because of the diverse development of P2P traffic currently, it is difficult for any single traditional P2P traffic classification method to classify P2P traffic accurately. By analyzing the current status of P2P traffic classification methods, We propose a multi level P2P traffic classification method based on the advantages of the existing P2P traffic classification methods. It is composed of four P2P traffic modules, and the division of labor and feedback mechanism between the modules can promote the effect of P2P traffic classification. Experimental results verify its accuracy and efficiency.
Keywords:P2P flow  traffic classification  multiple levels  feedback mechanism  module collaboration  
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