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» Learning for accurate classification of real-time traffic
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ICC
2007
IEEE
141views Communications» more  ICC 2007»
13 years 11 months ago
Accurate Classification of the Internet Traffic Based on the SVM Method
—The need to quickly and accurately classify Internet traffic for security and QoS control has been increasing significantly with the growing Internet traffic and applications ov...
Zhu Li, Ruixi Yuan, Xiaohong Guan
TITS
2008
250views more  TITS 2008»
13 years 4 months ago
Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...
Brendan Tran Morris, Mohan M. Trivedi
CONEXT
2006
ACM
13 years 11 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 usin...
Wei Li, Andrew W. Moore
WEA
2010
Springer
311views Algorithms» more  WEA 2010»
13 years 2 months ago
Realtime Classification for Encrypted Traffic
Classifying network flows by their application type is the backbone of many crucial network monitoring and controlling tasks, including billing, quality of service, security and tr...
Roni Bar-Yanai, Michael Langberg, David Peleg, Lia...
ISF
2010
164views more  ISF 2010»
13 years 2 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu