First Advisor
Tugrul Daim
Term of Graduation
January 2026
Date of Publication
6-1-2026
Document Type
Dissertation
Language
English
Subjects
cybersecurity, powergrid, ransomware, technology adoption
Physical Description
1 online resource ( pages)
Abstract
For many years, researchers and practitioners have studied emerging technologies in field of energy production and distribution. Power grid systems carry major weights in the energy branch of the economy. Researchers and scientists have been interested in finding ways to connect the power grid gap and improve protection for its technologies.
The research supports organizational adoption and prioritization of critical cybersecurity technologies for ransomware protection in power grid infrastructure. As utilities increasingly integrate digital technologies, they become more vulnerable to sophisticated cyberattacks that can disrupt ser-vices and put public safety at risk. The main focus of the study is to build a scoring system to as-sess the most critical infrastructure power grid technologies against ransomware using a scientific, modern model that addresses public policy challenges in bringing together private sector companies and government through collaboration, technical, and regulatory challenges, as well as emerging technologies.
To identify critical scores using the Multi-Criteria Decision Model (MCDM) and to apply public utility energy infrastructure, it is necessary to take appropriate action to protect the grid's potential against technological challenges. Additionally, through expert sensitivity analysis, decision makers can better understand what to expect under extreme grid conditions and choose appropriate strategies to excel in their systems. As a result, identifying Financial and Technical Elements as the most influential perspectives. Desirability curve analysis of current performance reveals significant gaps, especially in cloud computing. based on my findings, organizations should prioritize investment in identity access management, enhance cloud computing defenses such as real-time monitoring and hybrid-cloud security, and strengthen financial mitigation strategies. By leveraging HDM and de-sirability curve tools, power grid providers can reduce their risk of ransomware threats. In the end, the model can be used in many real-world scenarios.
Rights
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Recommended Citation
Alsoubaie, Fayez, "Adopting Critical Power Grid Infrastructure Technologies: An Organizational Cybersecurity Assessment against Ransomware" (2026). Dissertations and Theses. Paper 7127.