DataDRILL: resilience testbed for industrial cyber-physical systems.

Arifeen, Murshedul; Kotenko, Igor; Petrovski, Andrei; Hassard, Phil

Abstract

Testbeds and datasets are essential tools used in experimental work, risk assessment and validation of industrial cyber-physical systems (CPS) with the capability of seamless automation and control. Due to complexity of real CPS and the criticality of their operation, practitioners are turning toward virtualisation technologies to create digital twins (DT) of vital industrial assets supporting production processes and critical infrastructures. To make DTs practically viable and usable, they need to support advanced sensing technologies that process operational data in real time and to enable the deployment of AI-based techniques for anomaly detection and effective process control. For achieving these goals, informative and relevant datasets are needed adapted or generated with the help of virtualised testbeds. This paper presents two datasets for building a testbed of industrial CPS - a drilling rig in particular. The ultimate goal of undertaken research is to analyse the effects of anomalous conditions on the operation of asset digital twins to better capture the safety event horizon, contributing thereby to CPS sustainability and predictive maintenance.

Citation

ARIFEEN, M., KOTENKO, I., PETROVSKI, A. and HASSARD, P. 2025. DataDRILL: resilience testbed for industrial cyber-physical systems. In Proceedings of the 17th International conference on communication systems and networks 2025 (COMSNETS 2025), 6-10 January 2025, Bengaluru, India. Piscataway: IEEE [online], pages 1195-1200. Available from: https://doi.org/10.1109/COMSNETS63942.2025.10885712

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 17th International conference on Communication systems and networks 2025 (COMSNETS 2025)
• Start Date: Jan 6, 2025
• End Date: Jan 10, 2025
• Acceptance Date: Nov 5, 2024
• Online Publication Date: Feb 20, 2025
• Publication Date: Dec 31, 2025
• Deposit Date: Feb 27, 2025
• Publicly Available Date: Feb 27, 2025
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Pages: 1195-1200
• Series ISSN: 2155-2509
• ISBN: 9798331531199
• DOI: https://doi.org/10.1109/comsnets63942.2025.10885712
• Keywords: Cyber-physical systems; Resilience and safety; Industrial digital twins; Drilling rigs; Smart sensors; Virtualisation
• Public URL: https://rgu-repository.worktribe.com/output/2715679