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Cyber-Safety Assessment of Wind Turbines: A Reachability Analysis Approach Against Cyber-Attacks

Arsal, M., Asad, H. ORCID: 0000-0002-8506-5721, Kamel, T. & Khan, A. Cyber-Safety Assessment of Wind Turbines: A Reachability Analysis Approach Against Cyber-Attacks. Paper presented at the Sensei 2025, 9 Sep 2025, Stockholm, Sweden.

Abstract

Cyber threats to Wind Power Plants (WPPs) are progressively rising as they often rely heavily on numerous digital assets and interconnected control systems. This makes WPPs more attractive to cybercriminals, as sabotaging these facilities can disrupt grid stability and energy supply. Most risk analyses of WPPs use informal frameworks or simulations, which can miss rare but critical scenarios, especially during cyberattacks, due to their non-exhaustive nature. This can compromise both security and safety. However, formal methods like model checking and theorem proving provide us with guarantees to ensure safety and stability. This paper presents the application of formal methods, particularly reachability analysis, to highlight the risks associated with wind plants. The focus is on model-based safety analysis of a wind turbine, including its pitch control system, with an emphasis on scenarios involving cyberattacks. We model the wind turbine system as a hybrid automaton based on its different control regions. We then perform reachability analysis of the hybrid automaton to examine all system states over a finite horizon, thus addressing the verification challenges inherent in such nonlinear dynamical systems. We identify vulnerabilities present in the system that attackers may exploit to cause harm to the plant. We conclude by discussing the impact of two different cyber attacks on the safety of the system.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: This version of the contribution has been accepted for publication, after peer review but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record will be available online at: https://www.springer.com/gp/computer-science/lncs. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms.
Publisher Keywords: Security and Safety, Reachability Analysis, Hybrid Automaton, Cyber-Risk Analysis, Wind Power Plant Security
Subjects: H Social Sciences > HN Social history and conditions. Social problems. Social reform
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
Departments: School of Science & Technology
School of Science & Technology > Computer Science
School of Science & Technology > Computer Science > Software Reliability
SWORD Depositor:
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