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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