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A Study of Performance Improvement of Internet Application Traffic Identification using Flow Correlation
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 Title & Authors
A Study of Performance Improvement of Internet Application Traffic Identification using Flow Correlation
Yoon, Sung-Ho; Kim, Myung-Sup;
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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.
Flow Correlation;Traffic Monitoring and Analysis;Traffic identification;
 Cited by
EM 클러스터링을 이용한 SSH 트래픽 식별,김경륜;김명섭;김형중;

한국통신학회논문지, 2012. vol.37B. 12, pp.1160-1167 crossref(new window)
인터넷 응용 트래픽 분석을 위한 행위기반 시그니쳐 추출 방법,윤성호;김명섭;

한국통신학회논문지, 2013. vol.38B. 5, pp.368-376 crossref(new window)
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