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Traffic Classification: Issues and Challenges

Yibo Xue 1, Luoshi Zhang 2, and Dawei Wang 3
1. Tsinghua National Lab for Information Sci. & Tech., Beijing, 100084, China
2. Computer Science & Technology College, Harbin Univ. of Sci. & Tech, Harbin, 150080, China
3 National Computer Network Emergency Response Technical Team / Coordination Center of China (CNCERT/CC), Beijing, 100029, China

Abstract—Traffic classification has been extensively examined in recent years, as it is widely used in network management, design, security, advertising and research. In the past few years, the traffic classification techniques have been evolved along with the development of Internet protocols and applications, and many approaches have been investigated, proposed and developed. Nowadays, the ever increasing network bandwidth, the constantly sophisticated applications and the growth incentives to confuse classification systems to avoid filtering or blocking are among the reasons that traffic classification remains one of the hot areas in network research. In this paper, we first attempt to present an analysis of the existing traffic classification techniques, and dwell on their issues and challenges, then address some recommendations that can improve the performance of traffic classification systems. 

Index Terms—traffic classification, issues, challenges, recommendations
 

Cite:Yibo Xue, Luoshi Zhang, and Dawei Wang, "Traffic Classification: Issues and Challenges," Journal of Communications, vol. 8, no. 4, pp. 240-248, 2013. Doi: 10.12720/jcm.8.4.240-248

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