Intrusion detection based on k-means clustering and OneR classification

• 主要な著者: Muda, Zaiton, Mohamed Yassin, Warusia, Sulaiman, Md. Nasir, Udzir, Nur Izura
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: IEEE 2011
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/68939/1/Intrusion%20detection%20based%20on%20k-means%20clustering%20and%20OneR%20classification.pdf; http://psasir.upm.edu.my/id/eprint/68939/

Intrusion detection system (IDS) is used to detect various kinds of attacks in interconnected network. Many machine learning methods have also been introduced by researcher recently to obtain high accuracy and detection rate. Unfortunately, a potential drawback of all those methods is the rate of fa...