Performance Improvement of Signature-based Traffic Classification System by Optimizing the Search Space

Jun-Sang Park; Sung-Ho Yoon; Myung-Sup Kim

Performance Improvement of Signature-based Traffic Classification System by Optimizing the Search Space

Jun-Sang Park, Sung-Ho Yoon, Myung-Sup Kim, Journal of Internet Computing and Services, Vol. 12, No. 3, pp. 89-100, Jun. 2011
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Keywords: Application-Level Traffic Classification, Payload-Signature, Real-time classification

Abstract

The payload signature-based traffic classification system has to deal with large amount of traffic data, as the number of internet-based applications and network traffic continue to grow. While a number of pattern-matching algorithms have been proposed to improve processing speedin the literature, the performance of pattern matching algorithms is restrictive and depends on the features of its input data. In this paper, we studied how to optimize the search space in order to improve the processing speed of the payload signature-based traffic classification system. Also, the feasibility of our design choices was proved via experimental evaluation on our campus traffic trace.

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Cite this article

[APA Style]

Park, J., Yoon, S., & Kim, M. (2011). Performance Improvement of Signature-based Traffic Classification System by Optimizing the Search Space. Journal of Internet Computing and Services, 12(3), 89-100.

[IEEE Style]

J. Park, S. Yoon, M. Kim, "Performance Improvement of Signature-based Traffic Classification System by Optimizing the Search Space," Journal of Internet Computing and Services, vol. 12, no. 3, pp. 89-100, 2011.

[ACM Style]

Jun-Sang Park, Sung-Ho Yoon, and Myung-Sup Kim. 2011. Performance Improvement of Signature-based Traffic Classification System by Optimizing the Search Space. Journal of Internet Computing and Services, 12, 3, (2011), 89-100.