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» Realtime Classification for Encrypted Traffic
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APNOMS
2008
Springer
13 years 9 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-...
CEC
2010
IEEE
13 years 8 months ago
An analysis of clustering objectives for feature selection applied to encrypted traffic identification
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. ...
AP2PS
2009
IEEE
14 years 2 months ago
Detection of Encrypted Traffic in eDonkey Network through Application Signatures
—Peer-to-peer file sharing applications became very popular, being responsible for a large percentage of the network traffic. However, peer-to-peer traffic may compromise the per...
Mário M. Freire, David A. Carvalho, Manuela...
JMLR
2006
113views more  JMLR 2006»
13 years 7 months ago
On Inferring Application Protocol Behaviors in Encrypted Network Traffic
Several fundamental security mechanisms for restricting access to network resources rely on the ability of a reference monitor to inspect the contents of traffic as it traverses t...
Charles V. Wright, Fabian Monrose, Gerald M. Masso...
ICC
2009
IEEE
113views Communications» more  ICC 2009»
13 years 5 months ago
Using GMM and SVM-Based Techniques for the Classification of SSH-Encrypted Traffic
When employing cryptographic tunnels such as the ones provided by Secure Shell (SSH) to protect their privacy on the Internet, users expect two forms of protection. First, they aim...
Maurizio Dusi, Alice Este, Francesco Gringoli, Luc...