Intrusion detection based on K-means clustering and Naïve Bayes classification

Intrusion detection based on K-means clustering and Naïve Bayes classification

Intrusion Detection System (IDS) plays an effective way to achieve higher security in detecting malicious activities for a couple of years. Anomaly detection is one of intrusion detection system. Current anomaly detection is often associated with high false alarm with moderate accuracy and detection...

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Bibliographic Details
Main Authors: Muda, Zaiton, Mohamed Yassin, Warusia, Sulaiman, Md. Nasir, Udzir, Nur Izura
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Online Access:http://psasir.upm.edu.my/id/eprint/68866/
http://psasir.upm.edu.my/id/eprint/68866/1/Intrusion%20detection%20based%20on%20K-means%20clustering%20and%20Na%C3%AFve%20Bayes%20classification.pdf

Internet

http://psasir.upm.edu.my/id/eprint/68866/
http://psasir.upm.edu.my/id/eprint/68866/1/Intrusion%20detection%20based%20on%20K-means%20clustering%20and%20Na%C3%AFve%20Bayes%20classification.pdf

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