Novel Cybersecurity Framework for AI-Driven Drone Integration by Critical SMEs in Economically Distressed U.S. Rural Communities: Advancing Secure Precision Operations in High-Risk Environments

Authors

  • Isabirye Edward Kezron International Cybersecurity Researcher, Makerere University, Uganda

Keywords:

AI-Driven Cybersecurity, Trust-by-Design Framework, Industry 5.0 Security, Human–AI Collaboration, NIST Cybersecurity Framework, Ethical Artificial Intelligence

Abstract

As industrial ecosystems evolve from Industry 4.0 to the human-centric paradigm of Industry 5.0, integrating ethical artificial intelligence (AI), resilience, and cybersecurity has become vital. Industry 5.0 emphasizes not only automation but also sustainability, trust, and human-machine collaboration. These environments, particularly those utilizing AI for decision-making and threat management, pose complex cybersecurity and ethical challenges.

This article proposes a novel “Trust-by-Design” cybersecurity framework tailored for Industry 5.0 settings. Grounded in the NIST Cybersecurity Framework (Identify, Protect, Detect, Respond, Recover), it integrates AI into each domain to enhance resilience and operational transparency. A systematic literature review (SLR) of 2,395 publications—narrowed to 236 peer-reviewed sources—guides the framework’s development. AI use cases are mapped across cybersecurity functions, including intrusion detection, behavioral analysis, access control, blockchain-based audits, and automated recovery.

Additionally, the framework applies an AI capability taxonomy (perception, learning, reasoning, communication, planning) to align technical roles with trust-enabling mechanisms. Key gaps in empirical validation are noted, emphasizing the need for real-world pilot testing in high-risk sectors like smart manufacturing and healthcare.

To facilitate adoption, the paper outlines a modular deployment strategy involving stakeholder engagement, regulatory alignment, and ethical compliance. The resulting model offers a scalable, interdisciplinary approach for integrating secure and trustworthy AI into Industry 5.0 operations, supporting researchers, policymakers, and cybersecurity professionals alike.

Published

10-07-2025

How to Cite

Isabirye Edward Kezron. (2025). Novel Cybersecurity Framework for AI-Driven Drone Integration by Critical SMEs in Economically Distressed U.S. Rural Communities: Advancing Secure Precision Operations in High-Risk Environments. Well Testing Journal, 34(S3), 1–44. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/34.s3.1

Issue

Section

Original Research Articles

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