Jarwar, MA, Watson CBE FREng, J, Ani, UD and Chalmers, S (2023) Industrial Internet of Things Security Modelling using Ontological Methods. Proceedings of the 12th International Conference on the Internet of Things. 163 - 170.

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The Industrial Internet of Things (IIoT) trend presents many significant benefits for improving industrial operations. However, its emergence from the convergence of legacy Industrial Control Systems (ICS) and Information and Communication Technologies (ICT) has introduced newer security issues such as weak or lack of end-to-end security. These challenges have weakened the interest of many critical infrastructure industries in adopting IIoT-enabled systems. Implementing security in IIoT is challenging because this involves many heterogeneous Information Technology (IT) and Operational Technology (OT) devices and complex interactions with humans, and the environments in which these are operated and monitored. This article presents the initial results of the PETRAS Secure Ontologies for Internet of Things Systems (SOfIoTS) project, which consists of key security concepts and a modular design of a base security ontology, which supports security knowledge representation and analysis of IIoT security.

Item Type: Article
Additional Information: © 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM. The final version of the version of this article and all relevant information related to it, including copyrights, can be found on the publisher website.
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HB Economic Theory
T Technology > T Technology (General)
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Related URLs:
Depositing User: Symplectic
Date Deposited: 10 Feb 2023 09:07
Last Modified: 10 Feb 2023 09:07
URI: https://eprints.keele.ac.uk/id/eprint/11910

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