Anomaly detection in ICS datasets with machine learning algorithms

• Main Authors: Mubarak, Sinil, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Abdul Rahman, Farah Diyana, Tahir, Mohammad
• Format: Article
• Language: English; English; English
• Published: Tech Science Press 2021
• Subjects: TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
• Online Access: http://irep.iium.edu.my/88266/7/88266_Anomaly%20detection%20in%20ICS%20datasets%20with%20machine%20learning%20algorithms.pdf; http://irep.iium.edu.my/88266/13/88266_Anomaly%20Detection%20in%20ICS%20Datasets_SCOPUS.pdf; http://irep.iium.edu.my/88266/14/88266_Anomaly%20Detection%20in%20ICS%20Datasets_WOS.pdf; http://irep.iium.edu.my/88266/; https://www.techscience.com/csse/v37n1/41436
• Institution: Universiti Islam Antarabangsa Malaysia

An Intrusion Detection System (IDS) provides a front-line defense mechanism for the Industrial Control System (ICS) dedicated to keeping the process operations running continuously for 24 hours in a day and 7 days in a week. A well-known ICS is the Supervisory Control and Data Acquisition (SCADA)...