An Anomaly Detection Technique for Deception Attacks in Industrial Control Systems

• Main Authors: Qassim, Q., Ahmad, A.R., Ismail, R., Abu Bakar, A., Abdul Rahim, F., Mokhtar, M.Z., Ramli, R., Mohd Yusof, B., Mahdi, M.N.
• Format: Conference Paper
• Language: English
• Published: 2020

The increasing interaction of modern industrial control systems (ICS) to the outside Internet world influences making these systems vulnerable to a wide range of cyber-attacks. Moreover, the utilisation of Commercial-off-the-Shelf (COTS) products, as well as open communication protocols, made them attractive targets to various threat agents including cyber-criminals, national-state, and cyber-terrorists. Given that, today's ICSs are deriving the most critical national infrastructures. Therefore, this raises tremendous needs to secure these systems against cyber-attacks. Intrusion detection technology has been considered as one of the most essential security precautions for ICS networks. It can effectively detect potential cyber-attacks and malicious activities and prevent catastrophic consequences. This paper puts forward a new method to detect malicious activities at the ICS net-works. © 2019 IEEE.