Data Privacy and Cybersecurity in Wind Power Systems

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Authors: Binastya Anggara Sekti
Cited by: 4
References: 25

Abstract

The growing digitalization of wind power systems has intensified cybersecurity and data privacy challenges across modern renewable energy infrastructures. As AI, digital twins, and cloud-based platforms become integral to turbine monitoring and control, wind farms face expanding attack surfaces and increased vulnerability to malware, sensor spoofing, DDoS attacks, and supply chain breaches. These risks threaten operational continuity, grid stability, and the confidentiality of sensitive operational and geospatial data. Ensuring secure and privacy-compliant wind operations requires multi-layered protection that includes Zero Trust architectures, secure industrial protocols, robust identity and access management, encrypted communication channels, and strong AI governance. A comprehensive understanding of emerging threat vectors and resilient defense mechanisms is essential for safeguarding AI-powered wind energy ecosystems against evolving cyber and privacy risks.

Fields of Study & Subjects

Smart Grid Security and Resilience Wind Turbine Control Systems Islanding Detection in Power Systems

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
335–366
Publication date
25 February 2026
Document type
Book chapter