Taxonomy of Cyber Risk Mitigation Cost Benefit Analysis Methods for Energy Infrastructure

Cybersecurity is a critical aspect for the energy industry to defend against cyber attacks. However, justifying the costs of cybersecurity measures is essential. A cost-benefit analysis (CBA) is commonly used to support decision-making for risk mitigation, helping to identify strategies that optimally balance mitigation costs and risk reduction. In this survey, we analyse existing approaches and provide a taxonomic overview of methods for cyber risk mitigation cost-benefit analysis, focusing on key aspects that determine their applicability to energy systems. The survey includes both general and contextual works, employing various methodologies for CBA, whether analytical or criteria-based. We conclude with an analysis of future directions based on recent developments in these methods. As an emerging area, this taxonomy could serve as a foundation that can be expanded with more data from other publications in the field, offering an opportunity to advance knowledge in energy systems.

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Published
2024-09-02
DOI
https://doi.org/10.1109/csr61664.2024.10679375
Primary Topic
Information and Cyber Security
Type
article
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article

Taxonomy of Cyber Risk Mitigation Cost Benefit Analysis Methods for Energy Infrastructure

Robert Rawlinson‐Smith, Kevin Jones, Kimberly Tam, Yvonne Hwei Syn Kam
Information and Cyber Security
article

Taxonomy of Cyber Risk Mitigation Cost Benefit Analysis Methods for Energy Infrastructure

Robert Rawlinson‐Smith, Kevin Jones, Kimberly Tam, Yvonne Hwei Syn Kam
article en

Abstract

Cybersecurity is a critical aspect for the energy industry to defend against cyber attacks. However, justifying the costs of cybersecurity measures is essential. A cost-benefit analysis (CBA) is commonly used to support decision-making for risk mitigation, helping to identify strategies that optimally balance mitigation costs and risk reduction. In this survey, we analyse existing approaches and provide a taxonomic overview of methods for cyber risk mitigation cost-benefit analysis, focusing on key aspects that determine their applicability to energy systems. The survey includes both general and contextual works, employing various methodologies for CBA, whether analytical or criteria-based. We conclude with an analysis of future directions based on recent developments in these methods. As an emerging area, this taxonomy could serve as a foundation that can be expanded with more data from other publications in the field, offering an opportunity to advance knowledge in energy systems.

University of Plymouth (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Information and Cyber Security
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