Practical training dataset generation and retraining mechanism for on-line peer-to-peer traffic classification
Peer-to-Peer (P2P) detection by Machine Learning (ML) classification is affected by the quality and recency of training dataset. Hence, to classify P2P traffic on-line requires the removal of these limitations. In this research work, a novel practical training dataset generation and automatic retrai...
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フォーマット: | 学位論文 |
言語: | English |
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2012
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オンライン・アクセス: | http://eprints.utm.my/id/eprint/33398/5/RoozehZareiMFKE2012.pdf http://eprints.utm.my/id/eprint/33398/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:72709?site_name=Restricted Repository |
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