A Study on P2P Traffic Identification, Measurement and Analysis

P2P流量识别、测量与分析研究

基本信息

批准号：
18500047
负责人：
KAWASHIMA Konosuke
金额：
$ 2.59万
依托单位：
Tokyo University of Agriculture and Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2006
资助国家：
日本
起止时间：
2006 至 2007
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18500047/
关键词：
Information Network Teletraffic Peer-to-Peer Internet Broadband Traffic measurement Traffic analysis P2P

项目摘要

(1) P2P Traffic Identification MethodPeer-to-Peer (P2P) file sharing applications are widely used nowadays. In overlay networks, it is mainly music and video files that are transferred, and it is known that the traffic volume is much larger than that of classical Client/Server applications. However, the nature of current P2P application traffic is not well known because of the anonymous communication architectures used. To solve this problem, we have developed an identification method for pure P2P application traffic, especially for Winny, the most popular pure P2P file sharing application in Japan. Our method relies only on Client/Server relationships among the peers, without recourse to application header information. Our experiment shows that our identification of FN is 0.053-0.116 and FP is lower than 1/10000.(2) Characteristics Evaluation of P2P TrafficWe applied our method to ISP traffic and gave an evaluation of the identified Winny traffic. The characteristics of the Winny flows are almost symmetric for the outgoing flows to the Internet and the incoming flows. A small number of peers are responsible for producing almost all the traffic volume. Small correlation is observed between uploading traffic and downloading traffic in one peer. This is because that there is not explicit incentive mechanism in Winny network.

（1）当今广泛使用P2P流量标识Methodpeer-to-Peer（P2P）文件共享应用程序。在覆盖网络中，主要是传输的音乐和视频文件，众所周知，流量量大于经典客户端/服务器应用程序。但是，由于所使用的匿名通信体系结构，当前P2P应用程序流量的性质并不为人所知。为了解决这个问题，我们为纯P2P应用程序流量开发了一种识别方法，尤其是对于日本最受欢迎的纯P2P文件共享应用程序Winny。我们的方法仅依赖于同行之间的客户/服务器关系，而无需求助于应用程序标头信息。我们的实验表明，我们对FN的识别为0.053-0.116，FP低于1/10000。（2）P2P AcriningWe的特征评估我们将我们的方法应用于ISP流量，并对已确定的赢家流量进行了评估。对于即将到来的互联网和传入流的流量，赢得流量的特征几乎是对称的。少数同行几乎负责生产所有交通量。在上传流量和一个同行中的流量下载之间观察到小相关性。这是因为Winny网络中没有明确的激励机制。