Anomaly-based intrusion detection through K-Means clustering and Naives Bayes classification

• Main Authors: Yassin, Warusia, Udzir, Nur Izura, Muda, Zaiton, Sulaiman, Md Nasir
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: QA76 Computer software
• Online Access: http://repo.uum.edu.my/12029/1/PID49.pdf; http://repo.uum.edu.my/12029/; http://www.icoci.cms.net.my/proceedings/2013/TOC.html

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...