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计算机工程 ›› 2012, Vol. 38 ›› Issue (21): 119-122. doi: 10.3969/j.issn.1000-3428.2012.21.032

• 网络与通信 • 上一篇    下一篇

基于节点连接度的P2P流量快速识别方法

邢 玲,郑维玮,马卫东   

  1. (西南科技大学信息工程学院,四川 绵阳 621010)
  • 收稿日期:2011-11-25 出版日期:2012-11-05 发布日期:2012-11-02
  • 作者简介:邢 玲(1978-),女,副教授,主研方向:复杂网络系统;郑维玮,硕士;马卫东,副研究员
  • 基金资助:
    国家自然科学基金资助项目(60902021, 60932005, 61171109)

Rapid P2P Traffic Identification Method Based on Node Link Degree

XING Ling, ZHENG Wei-wei, MA Wei-dong   

  1. (School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China)
  • Received:2011-11-25 Online:2012-11-05 Published:2012-11-02

摘要: 为实现快速有效的P2P流量识别,提出一种基于节点连接度的识别方法。根据不同P2P流量的连接度特点,通过实验分析得到相关的流量属性,对属性进行关联,由此区分网络中的P2P流量及非P2P流量,并通过分析P2P下载与P2P流媒体的行为特性,证明P2P 下载的流量属性具有相似性,与P2P流媒体的流量属性相差较大。仿真实验结果证明,该方法具有较好的实时性和准确性。

关键词: P2P网络, 连接度, 度分布, 复杂网络, 流量识别, 流量属性

Abstract: This paper proposes an identification method which can achieve traffic identification with great efficiency and speed based on connectivity degree of nodes. P2P traffic is distinguished from non-P2P traffic in network by associating the attributes of the two kinds of traffic which are obtained by analyzing the experimental results according to connectivity degree features of different P2P traffic. The facts that traffic attributes of P2P downloading are similar and traffic attributes of P2P downloading are different from traffic attributes of P2P streaming media are proved by analyzing the behavioral properties of P2P downloading and P2P streaming media. Experimental results show that the proposed method has good performance in instantaneity and accuracy.

Key words: P2P network, link degree, degree distribution, complex network, traffic identification, traffic attribute

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