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...

書誌詳細
第一著者:	Zarei, Roozbeh
フォーマット:	学位論文
言語:	英語
出版事項:	2012
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/33398/5/RoozehZareiMFKE2012.pdf

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