标题：TrafficS: A Behavior-Based Network Traffic Classification Benchmark System with Traffic Sampling Functionality
作者：Yan, Xiaoyan; Liang, Bo; Ban, Tao; Guo, Shanqing; Wang, Liming
作者机构：[Yan, Xiaoyan; Liang, Bo; Guo, Shanqing] Shandong Univ, Sch Comp Sci & Technol, Jinan, Peoples R China.; [Liang, Bo] Natl Inst Informat & Communicat 更多
会议名称：19th International Conference on Neural Information Processing (ICONIP)
会议日期：NOV 11-15, 2012
来源：NEURAL INFORMATION PROCESSING, ICONIP 2012, PT IV
关键词：Network traffic classification; high-performance network
摘要：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.