Retraining mechanism for on-line peer-to-peer traffic classification

Peer-to-Peer (P2P) detection using machine learning (ML) classification is affected by its training quality and recency. In this paper, a practical retraining mechanism is proposed to retrain an on-line P2P ML classifier with the changes in network traffic behavior. This mechanism evaluates the accu...

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Bibliographic Details
Main Authors: Zarei, R., Monemi, A., Marsono, M. N.
Format: Conference or Workshop Item
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/51284/
http://dx.doi.org/10.1007/978-3-642-32063-7_40
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Institution: Universiti Teknologi Malaysia
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