Cyber risks to critical smart grid assets of industrial control systems

Liu, Chenyang, Alrowaili, Yazeed, Saxena, Neetesh ORCID: https://orcid.org/0000-0002-6437-0807 and Konstantinou, Charalambos 2021. Cyber risks to critical smart grid assets of industrial control systems. Energies 14 (17) , 5501. 10.3390/en14175501

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Abstract

Cybersecurity threats targeting industrial control systems (ICS) have significantly increased in the past years. Moreover, the need for users/operators to understand the consequences of attacks targeting these systems and protect all assets is vital. This work explores asset discovery in ICS and how to rank these assets based on their criticality. This paper also discusses asset discovery and its components. We further present existing solutions and tools for asset discovery. We implement a method to identify critical assets based on their connection and discuss related results and evaluation. The evaluation utilises four attack scenarios to stress the importance of protecting these critical assets since the failure to protect them can lead to serious consequences. Using a 12-bus system case, our results show that targeting such a system can increase and overload transmission lines values to 120% and 181% MVA, which can affect the power supply and disrupt service, and it can increase the cost up to 60%, affecting the productivity of this electric grid.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	MDPI
ISSN:	1996-1073
Date of First Compliant Deposit:	8 September 2021
Date of Acceptance:	26 August 2021
Last Modified:	27 Aug 2024 05:59
URI:	https://orca.cardiff.ac.uk/id/eprint/143929

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