Transport layer identification of P2P traffic
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
BLINC: multilevel traffic classification in the dark
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Toward the accurate identification of network applications
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
GT: picking up the truth from the ground for internet traffic
ACM SIGCOMM Computer Communication Review
Detection and classification of peer-to-peer traffic: A survey
ACM Computing Surveys (CSUR)
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This paper presents a novel approach in traffic classification that is based on the identification of the service that generates the traffic. This method is, in some sense, orthogonal to current approaches and it can be used as an efficient complement to existing methods to reduce computation and memory requirements. Experimental results on real traffic confirm that this method is extremely effective and may improve considerably the accuracy of traffic classification, while it is suitable to a large number of applications.