A K-Means and Naive Bayes learning approach for better intrusion detection

• Main Authors: Muda, Zaiton, Yassin, Warusia, Sulaiman, Md. Nasir, Udzir, Nur Izura
• Format: Article
• Language: English
• Published: Asian Network for Scientific Information 2011
• Online Access: http://psasir.upm.edu.my/id/eprint/12710/1/A%20K-Means%20and%20Naive%20Bayes%20learning%20approach%20for%20better%20intrusion%20detection.pdf; http://psasir.upm.edu.my/id/eprint/12710/; http://scialert.net/abstract/?doi=itj.2011.648.655
• Institution: Universiti Putra Malaysia

Intrusion Detection Systems (IDS) have become an important building block of any sound defense network infrastructure. Malicious attacks have brought more adverse impacts on the networks than before, increasing the need for an effective approach to detect and identify such attacks more effectively....