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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Traffic Classification Based on Flow Similarity
verfasst von : Jae Yoon Chung, Byungchul Park, Young J. Won, John Strassner, James W. Hong
Erschienen in: IP Operations and Management
Verlag: Springer Berlin Heidelberg
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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.