Performance Improvement of the Statistic Signature based Traffic Identification System


KIPS Transactions on Computer and Communication Systems, Vol. 18, No. 4, pp. 243-250, Aug. 2011
10.3745/KIPSTC.2011.18.4.243,   PDF Download:

Abstract

Nowadays, the traffic type and behavior are extremely diverse due to the appearance of various services on Internet, which makes the need of traffic identification important for efficient operation and management of network. In recent years traffic identification methodology using statistical features of flow has been broadly studied. We also proposed a traffic identification methodology using payload size distribution in our previous work, which has a problem of low completeness. In this paper, we improved the completeness by solving the PSD conflict using IP and port. And we improved the accuracy by changing the distance measurement between flow and statistic signature from vector distance to per-packet distance. The feasibility of our methodology was proved via experimental evaluation on our campus network


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Cite this article
[IEEE Style]
J. W. Park and M. S. Kim, "Performance Improvement of the Statistic Signature based Traffic Identification System," KIPS Journal C (2001 ~ 2012) , vol. 18, no. 4, pp. 243-250, 2011. DOI: 10.3745/KIPSTC.2011.18.4.243.

[ACM Style]
Jin Wan Park and Myung Sup Kim. 2011. Performance Improvement of the Statistic Signature based Traffic Identification System. KIPS Journal C (2001 ~ 2012) , 18, 4, (2011), 243-250. DOI: 10.3745/KIPSTC.2011.18.4.243.