Citation :

Abdinasir Ismael Hashi, Osman Abdullahi Jama, "Cyber Resilient Cloud and Edge Digital Platforms for Data Intensive and Digital Twin Enabled Information Systems," International Journal of Computer Science and Engineering, vol. 13, no. 5, pp. 9-20, 2026. Crossref, https://doi.org/10.14445/23488387/IJCSE-V13I5P102

Abstract

The high rate of oil and gas digitalization has brought about a lot of complications in the processes of handling occupational health and safety in distributed infrastructures. The conventional safety measures are usually reactive in nature and therefore opening systems to break down in terms of the operations, and also due to human error. That is why it is urgent to preventively combat the risks by combining HFE with the latest digital technologies. It is against this backdrop that this paper proposes a cyber-resilient, cloud-edge platform-based digital twin technology in developing better OHS through realtime monitoring and predictive analytics. The approach is a design-science approach, which includes the integration of a zero-trust approach to access, an adaptive security approach, and an automated self-healing approach to make sure that the System undergoes constant synchronization. A high-fidelity simulated validation shows the high-detection rate of 99.95% of the operational anomalies present in the System and shows that the platform recovered all nodes with a 100% node recovery rate, since it enabled automated failure and recovered system throughput to 85.85%, even after experiencing simulated disruptions. The evidence based on these findings shows that the application of the concept of HFE into the framework of resilient digital systems is highly likely to positively contribute to the process of proactive risk management in high-stakes energy contexts.

Keywords

Human Factors and Ergonomics (HFE), Occupational Health and Safety (OHS), Oil and Gas Sector, Proactive Risk Management, Digital Twin Technology.

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