Reducing false alarm using hybrid Intrusion Detection based on X-Means clustering and Random Forest classification

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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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Bibliographic Details
Main Authors:	Juma, Sundus, Muda, Zaiton, Yassin, Warusia
Format:	Article
Published:	Asian Research Publishing Network (A R P N) 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/35184/

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