Practical training dataset generation and retraining mechanism for on-line peer-to-peer traffic classification

• 第一著者: Zarei, Roozbeh
• フォーマット: 学位論文
• 言語: English
• 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/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

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...