Securing UAV Delivery Systems with Blockchain and Large Language Models: An Innovative Logistics Solution

In the evolving landscape of logistics and supply chain management, Unmanned Aerial Vehicles (UAVs) have emerged as a promising solution to enhance delivery efficiency and reach. However, the integration of UAVs into mainstream logistics faces significant challenges, including security, data integrity, and scalable customer interaction. This study proposes an innovative framework that leverages blockchain technology and large language models to address these challenges, offering a secure, transparent, and intelligent UAV delivery system. By integrating blockchain, we ensure the immutability and transparency of delivery transactions, enhancing trust in UAV-operated logistics. Concurrently, the employment of large language models facilitates intelligent route optimization, dynamic task allocation, and real-time customer service through natural language processing capabilities. We present a comprehensive analysis of the proposed system’s architecture, security features, and operational efficiency through simulated delivery scenarios. Our findings indicate a notable improvement in delivery times, reduced operational costs, and enhanced customer satisfaction. This research not only contributes to the theoretical understanding of blockchain and AI applications in logistics but also provides a practical roadmap for implementing secure and efficient UAV delivery systems in the future.