Intrusion detection based on k-means clustering and OneR classification
Intrusion detection system (IDS) is used to detect various kinds of attacks in interconnected network. Many machine learning methods have also been introduced by researcher recently to obtain high accuracy and detection rate. Unfortunately, a potential drawback of all those methods is the rate of fa...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68939/1/Intrusion%20detection%20based%20on%20k-means%20clustering%20and%20OneR%20classification.pdf http://psasir.upm.edu.my/id/eprint/68939/ |
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