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ISF
2010
164views more  ISF 2010»
9 years 5 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
TMA
2010
Springer
137views Management» more  TMA 2010»
9 years 6 months ago
K-Dimensional Trees for Continuous Traffic Classification
Abstract. The network measurement community has proposed multiple machine learning (ML) methods for traffic classification during the last years. Although several research works ha...
Valentín Carela-Español, Pere Barlet...
NOMS
2010
IEEE
177views Communications» more  NOMS 2010»
9 years 6 months ago
An effective similarity metric for application traffic classification
—Application level traffic classification is one of the major issues in network monitoring and traffic engineering. In our previous study, we proposed a new traffic classificatio...
Jae Yoon Chung, Byungchul Park, Young J. Won, John...
CCR
2006
136views more  CCR 2006»
9 years 8 months ago
Traffic classification on the fly
The early detection of applications associated with TCP flows is an essential step for network security and traffic engineering. The classic way to identify flows, i.e. looking at...
Laurent Bernaille, Renata Teixeira, Ismael Akodken...
SAC
2010
ACM
9 years 8 months ago
Improving cost and accuracy of DPI traffic classifiers
Traffic classification through Deep Packet Inspection (DPI) is considered extremely expensive in terms of processing costs, leading to the conclusion that this technique is not su...
Niccolo Cascarano, Luigi Ciminiera, Fulvio Risso
CONEXT
2008
ACM
9 years 10 months ago
Internet traffic classification demystified: myths, caveats, and the best practices
Recent research on Internet traffic classification algorithms has yielded a flurry of proposed approaches for distinguishing types of traffic, but no systematic comparison of the ...
Hyunchul Kim, Kimberly C. Claffy, Marina Fomenkov,...
APNOMS
2008
Springer
9 years 10 months ago
Empirical Analysis of Application-Level Traffic Classification Using Supervised Machine Learning
Accurate application traffic classification and identification are important for network monitoring and analysis. The accuracy of traditional Internet application traffic classific...
Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-...
CONEXT
2006
ACM
10 years 2 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
GLOBECOM
2007
IEEE
10 years 2 months ago
Extending the NetPDL Language to Support Traffic Classification
—Despite the importance of traffic classification in modern networks, the number of languages tailored to this task is extremely limited. These languages can be valuable, because...
Fulvio Risso, Andrea Baldini, Flavio Bonomi
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