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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Main Authors: | , , , |
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格式: | Conference or Workshop Item |
語言: | English |
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UUM College of Arts and Sciences, Universiti Utara Malaysia
2013
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在線閱讀: | 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 |
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