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Research Article Open access CC BY 4.0

Balancing Encryption Laws and National Security: Challenges for Data and Energy Sector Collaboration across Borders

Oluwatobi Bamigbade

Journal of Engineering Research and Reports · pp. 193–213 · Published 12 Jun 2025

10.9734/jerr/2025/v27i61538

Abstract

This study examines the intersection of encryption governance and cross-border collaboration in the energy sector through a multidimensional quantitative approach. Publicly available datasets—including the ITU Global Cybersecurity Index, the World Economic Forum’s Global Risks Report, the Belfer National Cyber Power Index, and ENISA’s Threat Landscape Reports—were analyzed using Principal Component Analysis, Ordinal Logistic Regression, Multiple Linear Regression, and ARIMA time-series modeling. Results show that countries with harmonized encryption policies, such as Germany and the United Kingdom, achieve higher collaboration indices (0.90), whereas fragmented jurisdictions like Russia score lower (0.60). Adoption of advanced encryption technologies is associated with a significant reduction in cyber incidents (β = –0.720, p < .001), while surveillance-intensive regimes correspond to elevated trust deficits (β = 0.526, p < .001). The study’s findings underscore the critical role of cohesive encryption frameworks in fostering secure international energy cooperation and highlight how regulatory dissonance undermines trust and operational efficiency. The study recommends that international regulatory coalitions harmonize encryption standards, national governments adopt transparent and lawful access mechanisms, and energy firms implement adaptive, jurisdiction-sensitive compliance architectures that integrate advanced encryption technologies. These insights offer practical guidance for policymakers seeking to balance national security with international collaboration and for industry stakeholders aiming to enhance cybersecurity resilience.

Encryption governance cross-border collaboration energy sector national security ARIMA modeling

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