Publication: An Anomaly Detection Technique for Deception Attacks in Industrial Control Systems
Date
2019
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.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
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.
Description
Anomaly detection; Big data; Commercial off-the-shelf; Computer crime; Intrusion detection; Learning systems; Network security; SCADA systems; Terrorism; Catastrophic consequences; Commercial off-the-shelf products; Deception Attack; Industrial control systems; Intrusion Detection Systems; Intrusion detection technologies; National infrastructure; SCADA; Intelligent control