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

Notice of Violation of IEEE Publication Principles

"Application of Markov Chain in IP Traffic Classification,"
by Zhou Xusheng and Wang Zhiming
in the Proceedings of the International Conference on Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC \´09. , vol.2, pp.688-691, April 2009

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

This paper contains significant portions of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"A Markovian Signature-based Approach to IP Traffic Classification"
By Hamza Dahmouni, Sandrine Vaton, and David Ross??,
In the Proceedings of the 3rd Annual ACM Workshop on Mining Network Data, MineNet \´07. ACM, pp. 29-34. June 2007

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.