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A survey on cyber risk management for the Internet of Things

A survey on cyber risk management for the Internet of Things

Parsons, Emily, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 , Loukas, George ORCID: 0000-0003-3559-5182 and Sakellari, Georgia ORCID: 0000-0001-7238-8700 (2023) A survey on cyber risk management for the Internet of Things. Applied Sciences, 13 (15):9032. pp. 1-44. ISSN 2076-3417 (Online) (doi:https://doi.org/10.3390/app13159032)

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Abstract

The Internet of Things (IoT) continues to grow at a rapid pace, becoming integrated into the daily operations of individuals and organisations. IoT systems automate crucial services within daily life that users may rely on, which makes the assurance of security towards entities such as devices and information even more significant. In this paper, we present a comprehensive survey of papers that model cyber risk management processes within the context of IoT, and provide recommendations for further work. Using 39 collected papers, we studied IoT cyber risk management frameworks against four research questions that delve into cyber risk management concepts and human-orientated vulnerabilities. The importance of this work being human-driven is to better understand how individuals can affect risk and the ways that humans can be impacted by attacks within different IoT domains. Through the analysis, we identified open areas for future research and ideas that researchers should consider.

Item Type: Article
Additional Information: This article belongs to the Special Issue AI-Enabled Cyber Defence in IoT Deployments: Challenges and Opportunities.
Uncontrolled Keywords: IoT cyber risk management; cyber risk assessment; cyber risk control; security controls; Internet of Things; survey; IoT
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified: 03 Oct 2023 14:15
URI: http://gala.gre.ac.uk/id/eprint/44373

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