| P2P网络聚合流量识别技术研究 |
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| 引用本文： | 龙坤,陈庶樵,夏军波.P2P网络聚合流量识别技术研究[J].通信技术,2010,43(1):142-144. |
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| 作者姓名： | 龙坤 陈庶樵 夏军波 |
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| 作者单位： | 国家数字交换系统工程技术研究中心,河南,郑州,450002 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 对等体网络P2P（Peer-to-Peer）应用系统中对等体主机的行为特征与P2P业务流量特征多样化、复杂化，使得单纯利用一种典型特征的P2P流量分类技术的识别精度不高。文中提出了一种新的P2P流量多阶段识别方法，该方法根据P2P应用流量的一系列固有特征，可以从聚合网络流中识别P2P流量。通过实验表明，丈中所提出的方法P2P流识别精度可达99．7％，同时错误分类精度0．3％。
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| 关 键 词： | P2P 聚合流量 典型特征 流量分类 |
Study on Identification of P2P Traffic Aggregation |
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| LONG Kun,CHEN Shu-qiao,XIA Jun-bo.Study on Identification of P2P Traffic Aggregation[J].Communications Technology,2010,43(1):142-144. |
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| Authors: | LONG Kun CHEN Shu-qiao XIA Jun-bo |
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| Affiliation: | LONG Kun,CHEN Shu-qiao,XIA Jun-bo(National Digital Switching System Engineering Technical Researching Center,Zhengzhou Henan 450002,China) |
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| Abstract: | The diversity and complexity of peer hosts in P2P application systems and P2P application traffic would result in a low identification precision due to the simple use of P2P traffic classification based on typical feature.Thus a novel multi-phase identification method for P2P traffic is proposed.This method,based on a set of properties inherent in P2P traffic,could identify P2P traffic from network aggregated traffic.Experiments indicate that the proposed method could achieve a classification accuracy of 99... |
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| Keywords: | P2P |
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