Sciweavers

Share
CONEXT
2006
ACM

Learning for accurate classification of real-time traffic

10 years 3 months ago
Learning for accurate classification of real-time traffic
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. Categories and Subject Descriptors I.5.1 [Computing Methodologies]: Pattern Recognition Models; C.2.3 [Computer Communications-Networks]: Network Operations, Network Monitoring General Terms Measurement, Algorithms Keywords Traffic Classification, Statistical Classification, Machine Learning.
Wei Li, Andrew W. Moore
Added 13 Jun 2010
Updated 13 Jun 2010
Type Conference
Year 2006
Where CONEXT
Authors Wei Li, Andrew W. Moore
Comments (0)
books