Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Cyber Security Framework for the Internet-of-Things in Industry 4.0

Petar Radanliev
* ORCID logo ,
Rafael Mantilla Montalvo
,
Stacy Cannady
,
Razvan Nicolescu
ORCID logo ,
Dave De Roure
,
Jason R.C. Nurse
,
Michael Huth
Version 1 : Received: 7 March 2019 / Approved: 8 March 2019 / Online: 8 March 2019 (15:27:11 CET)

How to cite: Radanliev, P.; Mantilla Montalvo, R.; Cannady, S.; Nicolescu, R.; De Roure, D.; Nurse, J.R.; Huth, M. Cyber Security Framework for the Internet-of-Things in Industry 4.0. Preprints 2019, 2019030111. https://doi.org/10.20944/preprints201903.0111.v1 Radanliev, P.; Mantilla Montalvo, R.; Cannady, S.; Nicolescu, R.; De Roure, D.; Nurse, J.R.; Huth, M. Cyber Security Framework for the Internet-of-Things in Industry 4.0. Preprints 2019, 2019030111. https://doi.org/10.20944/preprints201903.0111.v1

Abstract

This research article reports the results of a qualitative case study that correlates academic literature with five Industry 4.0 cyber trends, seven cyber risk frameworks and two cyber risk models. While there is a strong interest in industry and academia to standardise existing cyber risk frameworks, models and methodologies, an attempt to combine these approaches has not been done until present. We apply the grounded theory approach to derive with integration criteria for the reviewed frameworks, models and methodologies. Then, we propose a new architecture for the integration of the reviewed frameworks, models and methodologies. We therefore advance the efforts of integrating standards and governance into Industry 4.0 and offer a better understanding of a holistic economic impact assessment model for IoT cyber risk.

Keywords

Industry 4.0., Internet of Things, case study, cyber security framework

Subject

Engineering, Control and Systems Engineering

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.

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