通信学报 ›› 2013, Vol. 34 ›› Issue (Z2): 40-46.doi: 10.3969/j.issn.1000-436x.2013.Z2.009

• 网络工程 • 上一篇    下一篇

基于决策树的P2P节点识别技术研究

董永苹1,余翔湛2,吴刚1   

  1. 1 哈尔滨工业大学 网络与信息中心,黑龙江 哈尔滨 150001
    2 哈尔滨工业大学 计算机科学与技术学院,黑龙江 哈尔滨 150001
  • 出版日期:2013-12-25 发布日期:2017-06-16

Implementation of P2P nodes detection based on decision tree

Yong-ping DONG1,Xiang-zhan YU2,Gang WU1   

  1. 1 Computer Network Center,Harbin Institute of Technology,Harbin 150001,China
    2 School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China
  • Online:2013-12-25 Published:2017-06-16

摘要:

通过对P2P应用的长期研究,根据P2P节点自身的特点选取了其中典型的特征属性,井提出了一种基于决策树模型的P2P节点识别方法。由于该方法是统计分析传输层数据分组的特征,因此对于采用加密或非加密的P2P应用的网络节点识别均有效。通过实验验证,与基于端口和基于负载特征的流量监测方法相比,所提出的方法体现出了较高的准确率和较低的漏报率及误报率。

关键词: P2P, 流量识别, 决策树, 流量特征

Abstract:

A P2P nodes detection method based on decision model was proposed by a long time of observation.As this method is a statistical analysis of the transport layer packet characteristics,identification of the network node for encrypted or unencrypted P2P applications is effective.Experiment shows that this method has higher accuracy and lower false positive rate and false negative rate.

Key words: P2P, traffic identification, decision tree, traffic characteristic

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