Uchenna Ani u.d.ani@keele.ac.uk
Socio-Technical Security Modelling: Analysis of State-of-the-Art, Application, and Maturity in Critical Industrial Infrastructure Environments/Domains
D Ani, Uchenna; M Watson, Jeremy; Tuptuk, Nilufer; Hailes, Steve; Jawar, Aslam
Authors
Jeremy M Watson
Nilufer Tuptuk
Steve Hailes
Aslam Jawar
Abstract
This study explores the state-of-the-art, application, and maturity of socio-technical security models for industries and sectors dependent on CI and investigates the gap between academic research and industry practices concerning the modelling of both the social and technical aspects of security. Systematic study and critical analysis of literature show that a steady and growing on socio-technical security M&S approaches is emerging, possibly prompted by the growing recognition that digital systems and workplaces do not only comprise technologies, but also social (human) and sometimes physical elements.
Citation
D Ani, U., M Watson, J., Tuptuk, N., Hailes, S., & Jawar, A. (2023). Socio-Technical Security Modelling: Analysis of State-of-the-Art, Application, and Maturity in Critical Industrial Infrastructure Environments/Domains. arXiv,
Journal Article Type | Other |
---|---|
Publication Date | May 9, 2023 |
Deposit Date | Jul 4, 2023 |
Publicly Available Date | Jul 4, 2023 |
Journal | arXiv |
Print ISSN | 2331-8422 |
Publisher | Cornell University |
Peer Reviewed | Peer Reviewed |
Keywords | Cryptography and Security; Computers and Society |
Publisher URL | https://arxiv.org/abs/2305.05108 |
Files
Socio-Technical Security Modelling: Analysis of State-of-the-Art, Application, and Maturity in Critical Industrial Infrastructure Environments/Domains
(1.8 Mb)
Other
Version
Unsubmitted
You might also like
Digital twins in cyber effects modelling of IoT/CPS points of low resilience
(2023)
Journal Article
Industrial Internet of Things Security Modelling using Ontological Methods
(2023)
Conference Proceeding
Super-forecasting the 'technological singularity' risks from artificial intelligence
(2022)
Journal Article
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search