Industrial Internet of Things security modelling using ontological methods

JARWAR, Muhammad Aslam, WATSON, Jeremy, ANI, Uchenna Daniel and CHALMERS, Stuarts (2022). Industrial Internet of Things security modelling using ontological methods. In: NIFORATOS, Evangelos, KORTUEM, Gerd, MERATNIA, Nirvana, SIEGEL, Josh and MICHAHELLES, Florian, (eds.) IoT 2022: proceedings of the 12th International Conference on the Internet of Things. Association for Computing Machinery, 163-170.

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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.

Item Type:	Book Section
Identification Number:	https://doi.org/10.1145/3567445.3571103
Page Range:	163-170
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	28 Oct 2022 14:45
Last Modified:	12 Oct 2023 08:03
URI:	https://shura.shu.ac.uk/id/eprint/30956

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