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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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
2013
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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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