Future developments in standardisation of cyber risk in the Internet of Things (IoT)
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Abstract
In this research article, we explore the use of a design process for adapting existing cyber risk assessment standards to allow the calculation of economic impact from IoT cyber risk. The paper presents a new model that includes a design process with new risk assessment vectors, specific for IoT cyber risk. To design new risk assessment vectors for IoT, the study applied a range of methodologies, including literature review, empirical study and comparative study, followed by theoretical analysis and grounded theory. An epistemological framework emerges from applying the constructivist grounded theory methodology to draw on knowledge from existing cyber risk frameworks, models and methodologies. This framework presents the current gaps in cyber risk standards and policies, and defines the design principles of future cyber risk impact assessment. The core contribution of the article therefore, being the presentation of a new model for impact assessment of IoT cyber risk.
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Legacy industrial control systems and new IP-enabled sensors, instruments, controllers, and appliances often lack basic safeguards such as encryption, rigorous access controls, and endpoint security.
“Legacy industrial control systems and new IP-enabled sensors, instruments, controllers, and appliances often lack basic safeguards like encryption, rigorous access controls, and endpoint security.”
From Seamless Industry 4.0 Integration: A Multilayered Cyber-Security Framework for Resilient SCADA Deployments in CPPS (2023) · cites this paper as [25]
Section 2.1.1 says integrating less-secured systems creates cyber risk, and section 7.4 says IoT devices are unable to secure themselves. Those passages support the general security concern, but the paper does not identify legacy control systems and the listed IP-enabled devices as often lacking encryption, rigorous access controls, or endpoint security. (LLM, conf=0.84)
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The Discovery of Grounded Theory; Strategies for Qualitative Research
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“The IoT risk vectors are investigated in the context of Social Internet of Things [16], the Industry 4.”
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Cyber Risk Management for the Internet of Things
Radanliev, P., Charles De Roure, D., R.C. Nurse, J., Burnap, P., Anthi, E., Uchenna, A., Maddox, L., Santos, O., & Mantilla Montalvo, R. (2019) · doi:10.20944/preprints201904.0133.v1 · Cited by 17 · see citing works
Self-citation
- Authors
- Radanliev, P., De Roure, D. C., Nurse, J. R. C., Mantilla Montalvo, R., Cannady, S., Santos, O., Maddox, L., Burnap, P., & Maple, C.
- Affiliations
- University of Oxford (GB)
- University of Kent (GB)
- University of Warwick (GB)
- Corresponding author
- Radanliev, Petar
- Venue
- SN Applied Sciences
- Published
- 2020-01-08
- Volume
- 2
- Issue
- 2
- ISSN
- 2523-3963 (ISSN-L)
- 2523-3971
- OpenAlex
- W2922525752
- Cited by
- 91
- References
- 2
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 8 · 2023: 10 · 2022: 9 · 2021: 25 · 2020: 22 · 2019: 7
- FWCI
- 15.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- SN Applied Sciences (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- Kent Academic Repository (University of Kent) (acceptedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Engineering and Physical Sciences Research Council
- Cisco Systems
- Topics
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Internet of Things, cybersecurity risks, risk assessment standards, economic impact assessment, design process, grounded theory, constructivist epistemology, risk management model
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