Reducing false alarm using hybrid Intrusion Detection based on X-Means clustering and Random Forest classification
In recent times, Intrusion Detection systems (IDSs) incarnate the high network security. Anomaly-based intrusion detection techniques, that utilize algorithms of machine learning, have the capability to recognize unpredicted malicious. Unluckily, an essential provocation of this method is to maximiz...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Asian Research Publishing Network (A R P N)
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/35184/ http://www.jatit.org/volumes/sixtyeighth2.php |
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| Institution: | Universiti Putra Malaysia |