Notice of Violation of IEEE Publication PrinciplesApplication of Markov Chain in IP Traffic Classification

Service classification is becoming a central issue because of the emergence of new services (P2P, VoIP, Streaming video, etc.) which raises new challenges in resource reservation, pricing, network monitoring, etc. In order to identify a specific signature to an application, we first of all model the sequence of its packets at the transport layer by means of a first order Markov chain. Then, we decide which service should be associated to any new sequence by means of standard decision techniques. The evaluation of this automatic recognition procedure using a monitor port on campus network switch demonstrates the feasibility and the excellent performance of this approach.