Measuring Cyber Resilience of IoT-Enabled Critical National Infrastructures

Adeola Adewumi; Mohammad Hammoudeh; Tooska Dargahi; Olamide Jogunola

doi:10.1007/978-3-031-61486-6_16

Measuring Cyber Resilience of IoT-Enabled Critical National Infrastructures

Adeola Adewumi, Mohammad Hammoudeh, Tooska Dargahi, Olamide Jogunola^*

^*Corresponding author for this work

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Critical National Infrastructure (CNI) is vital and critical to the delivery of essential services to society and is necessary for a country to function properly. CNI are increasingly being connected to the internet to improve operational efficiency and reduce costs. The adoption of the Industrial Internet of Things (IoT) introduced new attack vectors which have necessitated a need to build and improve cyber resilience in CNI. The quantification of cyber resilience via metrics is one of the ways to improve resilience. However, there is currently no standard methodology and metrics to quantitatively measure cyber resilience in CNI. This paper proposes a list of suitable cyber resilience metrics for IoT-enabled CNI. Smart grid is considered as a CNI case study to measure the effectiveness of the proposed cyber resilience metrics. Evaluation of the systemic impact metric on smart grid showed that the performance of the system under an attack is dependent on the recovery time; hence, the higher the systemic impact, the lower the resilience of the CNI and vice versa. Quantifying the resilience of CNI is crucial to determining the security control defenses required to reduce the impact of a cyber attack.

Original language	English
Title of host publication	Applied Cryptography and Network Security Workshops - ACNS 2024 Satellite Workshops, AIBlock, AIHWS, AIoTS, SCI, AAC, SiMLA, LLE, and CIMSS, Proceedings
Editors	Martin Andreoni
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	265-280
Number of pages	16
ISBN (Print)	9783031614859
DOIs	https://doi.org/10.1007/978-3-031-61486-6_16
State	Published - 2024
Event	Satellite Workshops held in parallel with the 22nd International Conference on Applied Cryptography and Network Security, ACNS 2024 - Abu Dhabi, United Arab Emirates Duration: 5 Mar 2024 → 8 Mar 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14586 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Satellite Workshops held in parallel with the 22nd International Conference on Applied Cryptography and Network Security, ACNS 2024
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	5/03/24 → 8/03/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Critical National Infrastructure
Cyber Resilience Metrics
Industrial IoT
Smart Grid

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-61486-6_16

Cite this

Adewumi, A., Hammoudeh, M., Dargahi, T., & Jogunola, O. (2024). Measuring Cyber Resilience of IoT-Enabled Critical National Infrastructures. In M. Andreoni (Ed.), Applied Cryptography and Network Security Workshops - ACNS 2024 Satellite Workshops, AIBlock, AIHWS, AIoTS, SCI, AAC, SiMLA, LLE, and CIMSS, Proceedings (pp. 265-280). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14586 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-61486-6_16

Adewumi, Adeola ; Hammoudeh, Mohammad ; Dargahi, Tooska et al. / Measuring Cyber Resilience of IoT-Enabled Critical National Infrastructures. Applied Cryptography and Network Security Workshops - ACNS 2024 Satellite Workshops, AIBlock, AIHWS, AIoTS, SCI, AAC, SiMLA, LLE, and CIMSS, Proceedings. editor / Martin Andreoni. Springer Science and Business Media Deutschland GmbH, 2024. pp. 265-280 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Adewumi, A, Hammoudeh, M, Dargahi, T & Jogunola, O 2024, Measuring Cyber Resilience of IoT-Enabled Critical National Infrastructures. in M Andreoni (ed.), Applied Cryptography and Network Security Workshops - ACNS 2024 Satellite Workshops, AIBlock, AIHWS, AIoTS, SCI, AAC, SiMLA, LLE, and CIMSS, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14586 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 265-280, Satellite Workshops held in parallel with the 22nd International Conference on Applied Cryptography and Network Security, ACNS 2024, Abu Dhabi, United Arab Emirates, 5/03/24. https://doi.org/10.1007/978-3-031-61486-6_16

Measuring Cyber Resilience of IoT-Enabled Critical National Infrastructures. / Adewumi, Adeola; Hammoudeh, Mohammad; Dargahi, Tooska et al.
Applied Cryptography and Network Security Workshops - ACNS 2024 Satellite Workshops, AIBlock, AIHWS, AIoTS, SCI, AAC, SiMLA, LLE, and CIMSS, Proceedings. ed. / Martin Andreoni. Springer Science and Business Media Deutschland GmbH, 2024. p. 265-280 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14586 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Dargahi, Tooska

AU - Jogunola, Olamide

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AB - Critical National Infrastructure (CNI) is vital and critical to the delivery of essential services to society and is necessary for a country to function properly. CNI are increasingly being connected to the internet to improve operational efficiency and reduce costs. The adoption of the Industrial Internet of Things (IoT) introduced new attack vectors which have necessitated a need to build and improve cyber resilience in CNI. The quantification of cyber resilience via metrics is one of the ways to improve resilience. However, there is currently no standard methodology and metrics to quantitatively measure cyber resilience in CNI. This paper proposes a list of suitable cyber resilience metrics for IoT-enabled CNI. Smart grid is considered as a CNI case study to measure the effectiveness of the proposed cyber resilience metrics. Evaluation of the systemic impact metric on smart grid showed that the performance of the system under an attack is dependent on the recovery time; hence, the higher the systemic impact, the lower the resilience of the CNI and vice versa. Quantifying the resilience of CNI is crucial to determining the security control defenses required to reduce the impact of a cyber attack.

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Adewumi A, Hammoudeh M, Dargahi T, Jogunola O. Measuring Cyber Resilience of IoT-Enabled Critical National Infrastructures. In Andreoni M, editor, Applied Cryptography and Network Security Workshops - ACNS 2024 Satellite Workshops, AIBlock, AIHWS, AIoTS, SCI, AAC, SiMLA, LLE, and CIMSS, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 265-280. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-61486-6_16