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

• 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/41322/1/41322.pdf; http://psasir.upm.edu.my/id/eprint/41322/; http://www.icoci.cms.net.my/proceedings/2013/PDF/PID49.pdf
• Institution: Universiti Putra Malaysia

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...