期刊文献+

基于流量统计的P2P网络关键节点识别 被引量:8

Traffic statistics-based identification of key nodes in P2P network
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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.
出处 《计算机应用研究》 CSCD 北大核心 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
关键词 P2P网络 关键节点 语音即时通信软件 P2P network key nodes Skype
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参考文献16

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