Radanliev, P.; Mantilla Montalvo, R.; Nicolescu, R.; Huth, M.; Cannady, S.; De Roure, D. Analysing IoT Cyber Risk for Estimating IoT Cyber Insurance. Preprints2019, 2019030110. https://doi.org/10.20944/preprints201903.0110.v1
APA Style
Radanliev, P., Mantilla Montalvo, R., Nicolescu, R., Huth, M., Cannady, S., & De Roure, D. (2019). Analysing IoT Cyber Risk for Estimating IoT Cyber Insurance. Preprints. https://doi.org/10.20944/preprints201903.0110.v1
Chicago/Turabian Style
Radanliev, P., Stacy Cannady and Dave De Roure. 2019 "Analysing IoT Cyber Risk for Estimating IoT Cyber Insurance" Preprints. https://doi.org/10.20944/preprints201903.0110.v1
Abstract
This paper is focused on mapping the current evolution of Internet of Things (IoT) and its associated cyber risks for the Industry 4.0 (I4.0) sector. We report the results of a qualitative empirical study that correlates academic literature with 14 - I4.0 frameworks and initiatives. We apply the grounded theory approach to synthesise the findings from our literature review, to compare the cyber security frameworks and cyber security quantitative impact assessment models, with the world leading I4.0 technological trends. From the findings, we build a new impact assessment model of IoT cyber risk in Industry 4.0. We therefore advance the efforts of integrating standards and governance into Industry 4.0 and offer a better understanding of economics impact assessment models for I4.0.
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.