Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Survey on Cyber Risk Management for the Internet of Things

Version 1 : Received: 29 June 2023 / Approved: 30 June 2023 / Online: 30 June 2023 (07:59:54 CEST)

A peer-reviewed article of this Preprint also exists.

Parsons, E.K.; Panaousis, E.; Loukas, G.; Sakellari, G. A Survey on Cyber Risk Management for the Internet of Things. Appl. Sci. 2023, 13, 9032. Parsons, E.K.; Panaousis, E.; Loukas, G.; Sakellari, G. A Survey on Cyber Risk Management for the Internet of Things. Appl. Sci. 2023, 13, 9032.

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.

Keywords

IoT cyber risk management; Cyber risk assessment; Cyber risk control; Security controls; Internet of Things; Survey; IoT

Subject

Computer Science and Mathematics, Computer Networks and Communications

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