Jarwar, Muhammad Aslam;
Watson, Jeremy;
Ani, Uchenna P Daniel;
Chalmers, Stuart;
(2022)
Industrial Internet of Things Security Modelling using Ontological Methods.
In: Niforatos, Evangelos and Kortuem, Gerd and Meratnia, Nirvana and Siegel, Josh and Michahelles, Florian, (eds.)
IoT '22: Proceedings of the 12th International Conference on the Internet of Things.
(pp. pp. 163-170).
Association for Computing Machinery (ACM): New York, NY, USA.
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | Industrial Internet of Things Security Modelling using Ontological Methods |
| Event: | IoT 2022: The 12th International Conference on the Internet of Things |
| ISBN-13: | 9781450396653 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3567445.3571103 |
| Publisher version: | https://doi.org/10.1145/3567445.3571103 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Engineering Science Faculty Office |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10163672 |
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