Multi-Level basd Application Traffic Classification Method 


Vol. 35,  No. 8, pp. 1170-1178, Aug.  2010


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  Abstract

Recently as the number of users and application traffic is increasing on high speed network, the importance of application traffic classification is growing more and more for efficient network resource management. Although a number of methods and algorithms for traffic classification have been introduced, they have some limitations in terms of accuracy and completeness. In this paper we propose an application traffic classification based multi-level architecture which integrates several signature-based methods and behavior algorithm, and analyzes traffic using correlation among traffic flows. By strengthening the strength and making up for the weakness of individual methods we could construct a flexible and robust multi-level classification system. Also, by experiments with our campus network traffic we proved the performance and validity of the proposed mechanism.

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  Cite this article

[IEEE Style]

Y. Oh, J. Park, S. Yoon, J. Park, S. Lee, M. Kim, "Multi-Level basd Application Traffic Classification Method," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 8, pp. 1170-1178, 2010. DOI: .

[ACM Style]

Young-suk Oh, Jun-sang Park, Sung-ho Yoon, Jin-wan Park, Sang-woo Lee, and Myung-sup Kim. 2010. Multi-Level basd Application Traffic Classification Method. The Journal of Korean Institute of Communications and Information Sciences, 35, 8, (2010), 1170-1178. DOI: .

[KICS Style]

Young-suk Oh, Jun-sang Park, Sung-ho Yoon, Jin-wan Park, Sang-woo Lee, Myung-sup Kim, "Multi-Level basd Application Traffic Classification Method," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 8, pp. 1170-1178, 8. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880