Analysis of features selection for p2p traffic detection using support vector machine

Network traffic classification plays a vital role in various network activities. Network traffic data include a large number of relevant and redundant features, which increase the flow classifier computational complexity and affect the classification results. This paper focuses on the analysis of di...

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Bibliographic Details
Main Authors: Jamil, Haitham A., Zarei, Roozbeh, Fadlelssied, Nadir O., Aliyu, M., Nor, Sulaiman M., Marsono, Muhammad N.
Format: Conference or Workshop Item
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/50895/
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