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

• المؤلفون الرئيسيون: Mohamed Yassin, Warusia, Udzir, Nur Izura, Muda, Zaiton, Sulaiman, Md. Nasir
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: UUM College of Arts and Sciences, Universiti Utara Malaysia 2013
• الوصول للمادة أونلاين: 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

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...