| 带背景流的P2P流量识别技术研究 |
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| 引用本文： | 欧阳玲,宋克.带背景流的P2P流量识别技术研究[J].计算机测量与控制,2011,19(10). |
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| 作者姓名： | 欧阳玲 宋克 |
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| 作者单位： | 1. 中原工学院,河南郑州,450052
2. 国家数字交换系统工程技术研究中心,河南郑州,450005 |
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| 摘 要： | 针对P2P(peer-to-peer,对等体网络)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的问题,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,该方法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 the Identification of P2P Traffic with Background Traffic |
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| Ou Yangling,Song Ke.Study on the Identification of P2P Traffic with Background Traffic[J].Computer Measurement & Control,2011,19(10). |
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| Authors: | Ou Yangling Song Ke |
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| Affiliation: | Ou Yangling1,Song Ke2(1.Zhongyuan University of Technology,Zhengzhou 450052,China,2.National Digital Switching System Engineering & Technological R&D Center,China) |
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| Abstract: | The Diversity and complexity of Peer hosts in P2P application systems and P2P application traffic make P2P traffic identification approach based on only typical feature inaccurate.We propose a novel multi-phase identification method to reveal P2P traffic from traffic aggregation.Our method is based on a set of heuristics derived from the robust properties of P2P traffic.Experiments indicate the classification accuracy of our proposed method can reach 99.7%,while the false positive is lower than 0.3%. |
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| Keywords: | Peer-to-Peer Aggregation Traffic typical feature Traffic classification |
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