Abstract
Traffic classification is an important tool for network management. It reveals the source of observed network traffic and has many potential applications e.g. in Quality of Service, network
security and traffic visualization. In the last decade, traffic classification evolved quickly due to the raise
of peer-to-peer traffic. Nowadays, researchers still find new methods in order to withstand the rapid
changes of the Internet. In this paper, we review 13 publications on traffic classification and related
topics that were published during 2009-2012. We show diversity in recent algorithms and we highlight
possible directions for the future research on traffic classification: relevance of multi-level classification, importance of experimental validation, and the need for common traffic datasets.
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