Performance Improvement of the Payload Signature based Traffic Classification System 


Vol. 35,  No. 9, pp. 1287-1294, Sep.  2010


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  Abstract

The traffic classification is a preliminary and essential step for stable network service provision and efficient network resource management. While a number of classification methods have been introduced in literature, the payload signature-based classification method shows the highest performance in terms of accuracy, completeness, and practicality. However, the payload signature-based method has a significant drawback in high-speed network environment that the processing speed is much slower than other classification method such as header-based and statistical methods. In this paper, We describes various design options to improve the processing speed of traffic classification in design of a payload signature based classification system and describes our selections on the development of our traffic classification system. Also the feasibility of our selection was proved through experimental evaluation on our campus traffic trace.

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  Cite this article

[IEEE Style]

J. Park, S. Yoon, J. Park, H. Lee, S. Lee, M. Kim, "Performance Improvement of the Payload Signature based Traffic Classification System," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 9, pp. 1287-1294, 2010. DOI: .

[ACM Style]

Jun-sang Park, Sung-ho Yoon, Jin-wan Park, Hyun-shin Lee, Sang-woo Lee, and Myung-sup Kim. 2010. Performance Improvement of the Payload Signature based Traffic Classification System. The Journal of Korean Institute of Communications and Information Sciences, 35, 9, (2010), 1287-1294. DOI: .

[KICS Style]

Jun-sang Park, Sung-ho Yoon, Jin-wan Park, Hyun-shin Lee, Sang-woo Lee, Myung-sup Kim, "Performance Improvement of the Payload Signature based Traffic Classification System," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 9, pp. 1287-1294, 9. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880