Intrusion detection based on k-means clustering and OneR classification

• Main Authors: Muda, Zaiton, Mohamed Yassin, Warusia, Sulaiman, Md. Nasir, Udzir, Nur Izura
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2011
• Online Access: 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/
• Institution: Universiti Putra Malaysia

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...