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http://dx.doi.org/10.7840/KICS.2011.36B.6.600

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

Yoon, Sung-Ho (고려대학교 컴퓨터정보학과)
Kim, Myung-Sup (고려대학교 컴퓨터정보학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.36, no.6B, 2011 , pp. 600-607 More about this Journal
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.
Keywords
Flow Correlation; Traffic Monitoring and Analysis; Traffic identification;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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