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Performance Improvement of the Payload Signature based Traffic Classification System  

Park, Jun-Sang (고려대학교 컴퓨터정보학과)
Yoon, Sung-Ho (고려대학교 컴퓨터정보학과)
Park, Jin-Wan (고려대학교 컴퓨터정보학과)
Lee, Hyun-Shin (고려대학교 컴퓨터정보학과)
Lee, Sang-Woo (고려대학교 컴퓨터정보학과)
Kim, Myung-Sup (고려대학교 컴퓨터정보학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.9B, 2010 , pp. 1287-1294 More about this Journal
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.
Keywords
Application-level Traffic Classification; Payload Signature; processing Speed;
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