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

• 主要な著者: Muda, Zaiton, Mohamed Yassin, Warusia, Sulaiman, Md. Nasir, Udzir, Nur Izura
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: IEEE 2011
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/68866/1/Intrusion%20detection%20based%20on%20K-means%20clustering%20and%20Na%C3%AFve%20Bayes%20classification.pdf; http://psasir.upm.edu.my/id/eprint/68866/

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...