Wire-speed statistical classification of network traffic on commodity hardware
Proceedings of the 2012 ACM conference on Internet measurement conference
Measuring the impact of the copyright amendment act on New Zealand residential DSL users
Proceedings of the 2012 ACM conference on Internet measurement conference
Application traffic classification at the early stage by characterizing application rounds
Information Sciences: an International Journal
Multi-gigabit traffic identification on GPU
Proceedings of the first edition workshop on High performance and programmable networking
Joint source and sending rate modeling in adaptive video streaming
Image Communication
Toward an efficient and scalable feature selection approach for internet traffic classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
Protocol misidentification made easy with format-transforming encryption
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
Reviewing traffic classification
DataTraffic Monitoring and Analysis
Scalable and Real-Time Deep Packet Inspection
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Traffic classification technology has increased in relevance this decade, as it is now used in the definition and implementation of mechanisms for service differentiation, network design and engineering, security, accounting, advertising, and research. Over the past 10 years the research community and the networking industry have investigated, proposed and developed several classification approaches. While traffic classification techniques are improving in accuracy and efficiency, the continued proliferation of different Internet application behaviors, in addition to growing incentives to disguise some applications to avoid filtering or blocking, are among the reasons that traffic classification remains one of many open problems in Internet research. In this article we review recent achievements and discuss future directions in traffic classification, along with their trade-offs in applicability, reliability, and privacy. We outline the persistently unsolved challenges in the field over the last decade, and suggest several strategies for tackling these challenges to promote progress in the science of Internet traffic classification.