A Hybrid Architectural Model Integrating Blockchain Security, Fog Computing, And Generative Intelligence For Resilient Cyber-Physical Digital Twin Systems

The increasing convergence of cyber-physical systems (CPS), digital twins, blockchain infrastructures, fog computing paradigms, and generative artificial intelligence has transformed the architecture of intelligent industrial ecosystems. However, the integration of these technologies introduces substantial challenges associated with scalability, latency, trust management, interoperability, and cyber resilience. Existing digital twin frameworks frequently lack decentralized trust mechanisms and adaptive intelligence necessary for real-time cyber-physical synchronization. This research proposes a hybrid architectural model integrating blockchain security, fog computing, and generative intelligence to improve the resilience, scalability, and security of cyber-physical digital twin systems. The study synthesizes theoretical and architectural insights from recent literature on digital twins, blockchain-enabled IoT systems, distributed computing, and AI-driven analytics. The proposed model establishes a multilayer architecture composed of physical sensing layers, fog intelligence layers, blockchain trust layers, generative intelligence modules, and digital twin orchestration mechanisms. The framework addresses critical vulnerabilities including data tampering, sybil attacks, double-spending threats, latency bottlenecks, and interoperability limitations. The research further evaluates architectural performance through analytical assessment of security, scalability, adaptability, and computational efficiency. Results indicate that the hybrid model significantly enhances operational reliability, decentralized trust validation, low-latency analytics, and adaptive decision-making in CPS environments. The study contributes a resilient and standards-aligned architecture suitable for Industry 4.0, healthcare systems, smart manufacturing, and intelligent infrastructure applications.

Digital Twins, Blockchain Security, Fog Computing, Cyber-Physical Systems

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