基于P2P流量检测的签名特征匹配研究  

Based on the P2P traffic detection signature feature matching study

作　　者：陈庆[1] 杨正华[1] 曾爱华 

机构地区：[1]吉首大学信息科学与工程学院,湖南吉首416000 [2]湘西州广播电视大学,湖南吉首416000

出　　处：《电子设计工程》2012年第9期71-73,共3页Electronic Design Engineering

基　　金：吉首大学大学生研究性学习与创新性实验计划项目(JSU-CX-2011-27);吉首大学校级科研计划项目(10JD024)

摘　　要：P2P网络应用快速发展,带来网络安全防护漏洞和隐患。如何有效地监控P2P流,进行相关的流识别、流筛选、流控制是流管理中的重要问题。通过分析P2P协议及签名特征,提出一种基于签名特征的P2P流分析方法,通过实验分析相关P2P应用软件,得到相关软件的签名特征,并判断网络数据流是否为P2P流。可有效地提高P2P流识别的效率,解决检测信息过多、过滤信息性能瓶颈等问题。P2P network application of rapid development, bringing network security vulnerabilities and risks. How to effectively monitor the P2P streaming, flow identification and flow filter, flow control is important issues in workflow management. Through the analysis of P2P protocols and signature features based on the signature features of P2P streaming through the experimental analysis of P2P applications, get the signature features of the software, and to determine whether the network data stream for P2P streaming. Can effectively improve the efficiency of P2P streaming identify, solve the problem of information overload detection, filtering performance bottlenecks and so on.

关 键 词：P2P网络 流量检测 签名特征 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]