P2P流量实时检测系统的设计与实现  

DESIGN AND IMPLEMENTATION OF P2P REAL-TIME TRAFFIC DETECTION SYSTEM

作　　者：刘朝斌[1] 刘李男[1] 杨岳湘[1] 

机构地区：[1]国防科学技术大学计算机学院,湖南长沙410073

出　　处：《计算机应用与软件》2010年第4期51-53,73,共4页Computer Applications and Software

基　　金：国家863重点项目(2008AA01Z407);湖南省自然科学基金项目(07JJ5084)

摘　　要：P2P实时流量检测与管控成为网络管理的研究热点。采用熵优化支持向量机方法,设计并实现了基于熵优化支持向量机的P2P流量实时检测系统。实验证明该系统能够适应网络P2P流量的变化,可以在1～2分钟内有效地在线实时识别网络中绝大多数的P2P流量。P2P real-time traffic detection and control has become a hot spot in network management researches. This article presents the design and implementation of a P2P real-time traffic detection system based on entropy-optimized support vector machine. Experiment has proved that the system could adapt to P2P traffic changes in network and effectively recognize the overwhelming majority P2P traffic on line within one or two minutes.

关 键 词：实时流量检测 P2P 熵优化 支持向量机 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]