Anomaly-based intrusion detection through K-means clustering and naives Bayes classification

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Anomaly-based intrusion detection through K-means clustering and naives Bayes classification

Intrusion detection systems (IDSs) effectively balance extra security appliance by identifying intrusive activities on a computer system, and their enhancement is emerging at an unexpected rate. Anomaly-based intrusion detection methods, which employ machine learning algorithms, are able to identify...

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Bibliographic Details
Main Authors:	Mohamed Yassin, Warusia, Udzir, Nur Izura, Muda, Zaiton, Sulaiman, Md. Nasir
Format:	Conference or Workshop Item
Language:	English
Published:	UUM College of Arts and Sciences, Universiti Utara Malaysia 2013
Online Access:	http://psasir.upm.edu.my/id/eprint/41322/ http://psasir.upm.edu.my/id/eprint/41322/1/41322.pdf

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