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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
UUM College of Arts and Sciences, Universiti Utara Malaysia
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/41322/ http://psasir.upm.edu.my/id/eprint/41322/ http://psasir.upm.edu.my/id/eprint/41322/1/41322.pdf |