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

• 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/; http://www.jatit.org/volumes/sixtyeighth2.php
• Institution: Universiti Putra Malaysia

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...