AI-Driven Interoperability Frameworks for Secure Network Functions in Autonomous Vehicles
DOI:
https://doi.org/10.15680/IJCTECE.2025.0802006Keywords:
Artificial Intelligence (AI), Interoperability, Network Function Virtualization (NFV), Autonomous Vehicles (AVs), Privacy, Cybersecurity, Intelligent Transportation Systems (ITS).Abstract
Autonomous vehicles (AVs) rely heavily on interconnected systems, heterogeneous communication protocols, and real-time data exchange to ensure safety and efficiency. However, the integration of diverse network functions poses challenges in interoperability, scalability, and cybersecurity. This paper proposes an AI-driven interoperability framework that ensures secure network function virtualization (NFV) in autonomous vehicles. By combining artificial intelligence techniques with standardized communication models, the framework enhances data exchange, privacy, resilience, and security across vehicular networks. Experimental simulations demonstrate improvements in latency reduction, interoperability success rate, and security robustness compared to traditional NFV approaches.
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