Enhancing the Internet of Vehicles through Collaborative Cryptographic Mechanisms with IRS

Abstract

The Internet of Vehicles (IoV) is transforming transportation systems by allowing for seamless communication and collaboration between vehicles, roadside units (RSUs), and cloud servers. However, the dynamic and varied character of IoV settings raises serious security and efficiency concerns. This work suggests a novel strategy to addressing these issues by combining collaborative cryptographic processes and intelligent reflecting surfaces (IRS). Our method uses modern encryption techniques, such as the modern Encryption Standard (AES), to assure safe data delivery, while intelligent reflecting surfaces dynamically modify their reflection qualities to improve signal propagation and reception. We provide a detailed network model and algorithmic framework for implementing the suggested strategy, with a focus on cryptographic techniques and the role of intelligent reflecting surfaces in improving communication security and efficiency. Through theoretical analysis and debate, we emphasize the possible benefits of incorporating intelligent reflecting surfaces in IoV networks, such as improved network coverage, lower communication costs, and increased energy efficiency. Furthermore, we explore the implications of our strategy for IoV security and suggest future research areas in this area.