基于流量统计的P2P网络关键节点识别  

Traffic statistics-based identification of key nodes in P2P network

作　　者：王晓磊[1] 杨岳湘[2] 何杰[1] 

机构地区：[1]国防科学技术大学计算机学院,长沙410073 [2]国防科学技术大学信息中心,长沙410073

出　　处：《计算机应用研究》2015年第5期1445-1449,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目

摘　　要：针对当前P2P(peer-to-peer)网络普遍存在关键节点的现状,为了准确地识别P2P网络中的关键节点,通过分析关键节点的相应特点,提出了一种基于网络流量的P2P关键节点识别方法。通过提取网络流的空间特征等特性作为关键节点识别的依据,并以Skype作为研究对象,采用真实的流量数据进行验证测试。实验表明,该方法能够准确地识别出Skype网络中的关键节点,识别准确率较高,而且实时性较好。In accordance with the prevalence of key nodes in P2 P network,this paper analyzed the corresponding characteristics of key nodes and proposed a network-based novel to identify the key nodes in P2 P network. It extracted the time and space characteristics of network flow as the basis for identifying key nodes. It selected the Skype as the research object and used real traffic data to verify and test. Experiment results show that the method can accurately identify the Skype key nodes in the network with the higher recognition accuracy and better real-time.

关 键 词：P2P网络 关键节点 语音即时通信软件 

分 类 号：TP393.07[自动化与计算机技术—计算机应用技术]