TY - JOUR N2 - 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. L1 - http://www.czasopisma.pan.pl/Content/93765/mainfile.pdf L2 - http://www.czasopisma.pan.pl/Content/93765 PY - 2013 IS - No 2 EP - 136 KW - Internet KW - traffic classification KW - Machine learning A1 - Foremski, Paweł PB - Committee of Informatics of Polish Academy of Science PB - Institute of Theoretical and Applied Informatics of Polish Academy of Science VL - vol. 25 DA - 2013 T1 - On different ways to classify Internet traffic: a short reviewof selected publications SP - 119 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/93765 T2 - Theoretical and Applied Informatics ER -