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Multi-Level based Application Traffic Classification Method  

Oh, Young-Suk (고려대학교 컴퓨터정보학과)
Park, Jun-Sang (고려대학교 컴퓨터정보학과)
Yoon, Sung-Ho (고려대학교 컴퓨터정보학과)
Park, Jin-Wan (고려대학교 컴퓨터정보학과)
Lee, Sang-Woo (고려대학교 컴퓨터정보학과)
Kim, Myung-Sup (고려대학교 컴퓨터정보학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.8B, 2010 , pp. 1170-1178 More about this Journal
Abstract
Recently as the number of users and application traffic is increasing on high speed network, the importance of application traffic classification is growing more and more for efficient network resource management. Although a number of methods and algorithms for traffic classification have been introduced, they have some limitations in terms of accuracy and completeness. In this paper we propose an application traffic classification based multi-level architecture which integrates several signature-based methods and behavior algorithm, and analyzes traffic using correlation among traffic flows. By strengthening the strength and making up for the weakness of individual methods we could construct a flexible and robust multi-level classification system. Also, by experiments with our campus network traffic we proved the performance and validity of the proposed mechanism.
Keywords
Multi-Level Traffic Classification; Signature-based; Correlation Algorithm;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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