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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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| 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 |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |