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Advanced Cyber-Physical Security Framework for Hybrid Renewable Energy Systems: Threat Modeling and Automated Defense Integration for Critical Agricultural Infrastructure

Winifred C. Ayogu, Chibuzo Jonathan Onwuamadike

Abstract

The integration of hybrid renewable energy systems (HRES) in critical agricultural infrastructure has created unprecedented vulnerabilities at the intersection of cyber and physical domains. This study presents a comprehensive cyber-physical security framework designed to protect agricultural HRES from evolving threat landscapes. Through systematic threat modeling and automated defense integration, we address the critical security gaps in solar-wind hybrid systems powering precision agriculture operations. My framework incorporates real-time anomaly detection, blockchain-enabled access control, and machine learning-based threat prediction mechanisms. Implementation results from three agricultural facilities demonstrate a 94.3% threat detection accuracy and 78% reduction in response time to cyber-physical attacks. The proposed framework provides a scalable solution for securing energy-dependent agricultural infrastructure while maintaining operational efficiency and system resilience.

Keywords

Cyber-physical securityhybrid renewable energy systemsagricultural infrastructurethreat modelingautomated defenseintrusion detectionSCADA securitysmart agriculture

References

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