A Study of Performance Improvement of Internet Application Traffic Identification using Flow Correlation 


Vol. 36,  No. 6, pp. 600-607, Jun.  2011


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  Abstract

As network traffic is dramatically increasing due to the popularization of Internet, the need for application traffic identification becomes important for the effective use of network resources. In this paper, we present an Internet application traffic identification method based on flow correlation to overcome limitation of signature-based identification methods and to improve performance (completeness) of it. The proposed method can identify unidentified flows from signature-based method using flow correlation between identified and unidentified flows. We propose four separate correlation methods such as Server-Client, Time, Host-Host, and Statistic correlation and describe a flow correlation-based identification system architecture which incorporates the four separate methods. Also we prove the feasibility and applicability of our proposed method by an acceptable experimental result.

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  Cite this article

[IEEE Style]

S. Yoon and M. Kim, "A Study of Performance Improvement of Internet Application Traffic Identification using Flow Correlation," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 6, pp. 600-607, 2011. DOI: .

[ACM Style]

Sung-ho Yoon and Myung-sup Kim. 2011. A Study of Performance Improvement of Internet Application Traffic Identification using Flow Correlation. The Journal of Korean Institute of Communications and Information Sciences, 36, 6, (2011), 600-607. DOI: .

[KICS Style]

Sung-ho Yoon and Myung-sup Kim, "A Study of Performance Improvement of Internet Application Traffic Identification using Flow Correlation," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 6, pp. 600-607, 6. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880