Automated dataset generation for training peer-to-peer machine learning classifiers

• 主要な著者: Zarei, Roozbeh, Monemi, Alireza, Marsono, Muhammad Nadzir
• フォーマット: 論文
• 出版事項: Springer Science and Business Media, LLC 2015
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://eprints.utm.my/id/eprint/57928/; http://dx.doi.org/10.1007/s10922-013-9279-z

Peer-to-peer (P2P) classifications based on flow statistics have been proven accurate in detecting P2P traffic. A machine learning classification is affected by the quality and recency of the training dataset used. Hence, to classify P2P traffic on-line requires the removal of these limitations. In...