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Industrial Internet of Things Security Modelling using Ontological Methods

Aslam Jarwar, Muhammad; Watson, Jeremy; Ani, Uchenna; Chalmers, Stuart

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Authors

Muhammad Aslam Jarwar

Jeremy Watson

Stuart Chalmers



Abstract

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.

Conference Name IoT 2022: The 12th International Conference on the Internet of Things
Conference Location Delft Netherlands
Start Date Nov 7, 2022
End Date Nov 10, 2022
Acceptance Date Nov 5, 2022
Publication Date Jan 5, 2023
Publisher Association for Computing Machinery (ACM)
Pages 163 - 170
Series Title IoT 2022: The 12th International Conference on the Internet of Things
Book Title IoT '22: Proceedings of the 12th International Conference on the Internet of Things
ISBN 978-1-4503-9665-3
DOI https://doi.org/10.1145/3567445.3571103
Publisher URL https://dl.acm.org/doi/10.1145/3567445.3571103

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