A Secure Authentication Method Based On Digital Twins For Vehicle Cloud Networking

Abstract

Autonomous vehicles (AVs) provide various services but are usually plagued with sensing, processing, and communication delay issues. To mitigate these challenges, we introduce a secure cloud-based digital twin framework that allows real-time synchronization and data fusion with physical vehicles. This solution minimizes communication overhead, enhances system responsiveness in general, and promotes a better passenger experience. In addition, it provides data security and privacy during the interaction process. In comparison to other vehicular communication protocols, our approach is less computationally intensive and thus extremely appropriate for real-time applications. The system is intended to allow secure and efficient data transfer from the vehicle and its digital twin without impairing performance. Optimizing communication and computation equally, our solution offers a scalable platform for autonomous vehicle deployments in the future. In general, this work is a milestone toward the integration of digital twin technology with AV systems in a seamless and secure manner.