Uchenna Ani u.d.ani@keele.ac.uk
What Makes an Industrial Control System Security Testbed Credible and Acceptable? Towards a Design Consideration Framework
Ani, Uchenna; Watson, Jeremy
Authors
Jeremy Watson
Abstract
The convergence of Industrial Control System (ICS) with Information Technologies (IT) coupled with the resulting and widely publicized cyber security incidents have made ICS security and resilience issues of critical concern to operators and governments. The inability to apply traditional IT security practice to ICSs further complicates the challenges of effectively securing critical industrial systems. To investigate these challenges without impacting upon live system operations, testbeds are being widely used as viable options to explore, develop and assess security risks and controls. However, how an ICS testbed is designed, and its attributes, can directly impact not only on its viability but also its credibility and acceptance for use as a whole. Through a systematic review and analysis of ICS security testbed design factors, a novel outline conceptual mapping of design factors for building credibility and acceptance is proposed. These design considerations include: design objectives, implementation approach, architectural component coverage, core operational characteristics, and evaluation approach.
Citation
Ani, U., & Watson, J. What Makes an Industrial Control System Security Testbed Credible and Acceptable? Towards a Design Consideration Framework. Presented at 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Online
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications |
Acceptance Date | Jul 1, 2021 |
Publication Date | 2021 |
Deposit Date | Jun 2, 2023 |
Journal | SCITEPRESS - Science and Technology Publications |
Electronic ISSN | 2184-2841 |
Peer Reviewed | Peer Reviewed |
Series Title | Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications |
DOI | https://doi.org/10.5220/0010170301810190 |
Public URL | https://keele-repository.worktribe.com/output/435668 |
Publisher URL | https://www.scitepress.org/Link.aspx?doi=10.5220/0010170301810190 |
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