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
通讯作者:Yan, X.
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
出版年:2012
卷:7666
期:PART 4
页码:100-107
DOI:10.1007/978-3-642-34478-7_13
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.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:1
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869016936&doi=10.1007%2f978-3-642-34478-7_13&partnerID=40&md5=9a8c148b85657c15360bd311a354b993
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