TrafficS:A Behavior-based Network Traffic Classification Benchmark System with Traffic Sampling Functionality

Xiaoyan Yan; Liang Bo; Ban Tao; Guo shanqing; Wang Liming

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TrafficS:A Behavior-based Network Traffic Classification Benchmark System with Traffic Sampling Functionality

Xiaoyan Yan 1,Liang Bo 1,Ban Tao 2,Guo shanqing 1 *,Wang Liming 3

1.School of Computer Science and Technology, Shandong University, Jinan,250101

2.National Institute of Information and Communications Technology, Tokyo 184-8795

3.DNSLAB，China Internet Network Information Center, Beijing,100190

*Correspondence author

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Funding: Doctoral Program of Higher Education （No.No. 20090131120009）

Opened online: 7 January 2013

Accepted by: none

Citation: Xiaoyan Yan,Liang Bo,Ban Tao.TrafficS:A Behavior-based Network Traffic Classification Benchmark System with Traffic Sampling Functionality[OL]. [ 7 January 2013] http://en.paper.edu.cn/en_releasepaper/content/4504910

In recent years, there have been many methods proposed to perform network traffic classification based on application protocols. Still, there is a pressing need for a practical tool to benchmark the performance of these approaches in real-world high-performance network environments. In this paper, based on rigorous requirements analysis on real-world environments, we present a real-time traffic classification benchmark system, termed TrafficS, which aims at easy performance-evaluation between different intelligent methods. TrafficS is not only extensible to incorporate multiple traffic classification engines but supports different packet/stream sampling techniques as well. Furthermore, it could provide users a comprehensive means to perceive the difference between inspected methods in various aspects.

Keywords:Computer Network;network traffic classification;high-performance network

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