Learning for accurate classification of real-time traffic

Authors:
Wei Li;Andrew W Moore
Affiliations:
Queen Mary University of London, London, United Kingdom;Queen Mary University of London, London, United Kingdom
Venue:
CoNEXT '06 Proceedings of the 2006 ACM CoNEXT conference
Year:
2006

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Abstract

Accurate network traffic classification is an important task. We intend to develop an intelligent classification system by learning the types of service inside a network flow using machine learning techniques. Previous work used Bayesian methods for traffic classification. In this paper we propose a further plan to identify a fine-grained traffic classification scheme through combining a series of techniques.