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IPOM
2009
Springer

Traffic Classification Based on Flow Similarity

9 years 4 months ago
Traffic Classification Based on Flow Similarity
Due to the various masquerading strategies adopted by newer P2P applications to avoid detection and filtering, well-known port mapping techniques cannot guarantee their accuracy any more. Alternative approaches, application-signature mapping, behavior-based analysis, and machine learning based classification methods, show more promising accuracy. However, these methods still have complexity issues. This paper provides a new classification method which utilizes cosine similarity between network flows.
Jae Yoon Chung, Byungchul Park, Young J. Won, John
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where IPOM
Authors Jae Yoon Chung, Byungchul Park, Young J. Won, John Strassner, James W. Hong
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