Winning the battle with cyber risk identification tools in industrial control systems: A review

Rotibi, Ayo, Saxena, Neetesh ORCID: https://orcid.org/0000-0002-6437-0807 and Burnap, Pete ORCID: https://orcid.org/0000-0003-0396-633X 2024. Winning the battle with cyber risk identification tools in industrial control systems: A review. IET Cyber-Physical Systems: Theory & Applications 9 (4) , pp. 350-365. 10.1049/cps2.12105

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

The modern Industrial Control System (ICS) environment now combines information technology (IT), operational technology, and physical processes. This digital transformation enhances operational efficiency, service quality, and physical system capabilities enabling systems to measure and control the physical world. However, it also exposes ICS to new and evolving cybersecurity threats that were once confined to the IT domain. As a result, identifying cyber risks in ICS has become more critical, leading to the development of new methods and tools to tackle these emerging threats. This study reviews some of the latest tools for cyber-risk identification in ICS. It empirically analyses each tool based on specific attributes: focus, application domain, core risk management concepts, and how they address current cybersecurity concerns in ICS.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Wiley
ISSN:	2398-3396
Date of First Compliant Deposit:	19 November 2024
Date of Acceptance:	30 October 2024
Last Modified:	15 Jan 2025 15:17
URI:	https://orca.cardiff.ac.uk/id/eprint/173644

Actions (repository staff only)

Edit Item