Intrusion detection based on k-means clustering and OneR classification

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Intrusion detection based on k-means clustering and OneR classification

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...

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Bibliographic Details
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/ http://psasir.upm.edu.my/id/eprint/68939/1/Intrusion%20detection%20based%20on%20k-means%20clustering%20and%20OneR%20classification.pdf

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