Add-on anomaly threshold technique for improving unsupervised intrusion detection on SCADA data

• Main Authors: Almalawi, A., Fahad, A., Tari, Z., Khan, A.I., Alzahrani, N., Bakhsh, S.T., Alassafi, M.O., Alshdadi, A., Qaiyum, S.
• Format: Article
• Published: MDPI AG 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086671739&doi=10.3390%2felectronics9061017&partnerID=40&md5=43974677e7dfc31730cf9391daef7321; http://eprints.utp.edu.my/23412/

Supervisory control and data acquisition (SCADA) systems monitor and supervise our daily infrastructure systems and industrial processes. Hence, the security of the information systems of critical infrastructures cannot be overstated. The effectiveness of unsupervised anomaly detection approaches is...