Performance Evaluation of Secure and Adaptive mmWave Wireless Communications for Robust Connectivity, Secrecy and Trust for Intelligent Transportation System

Abstract

As the operation of vehicles becomes increasingly automated, millimeter Wave (mmWave)communications are anticipated to play a significant part in this communication. Far greater transmission rates for vehicle communication systems can be achieved using large spectral channels at millimeter wave (mmWave) frequencies. Using mmWave allows users to access communication channels with high bandwidth, meaning that it would be possible to transmit data in gigabytes per second, allowing vehicles and infrastructure to exchange and collect information. As with standard communication systems, vehicle communication systems may be abused or attacked in ways that could compromise the transport systems and the security of drivers and their vehicles. The security vulnerabilities can be overcome by employing keyless Physical layer security (PLS), which has no direct reliance on secret keys or upper-layer data encryption, to make vehicle communication more secure. Several ways to improve PLS have been suggested; however, they both require additional power or hardware to be implemented in a realistic manner. Fortunately, as metamaterials progress, a low-cost, energy-efficient device known as an intelligent reflecting surface (IRS) emerges, providing a viable solution to PLS. IRS is a technique that allows the transmitter and receiver to create a controllable and intelligent transmission environment. This dissertation aims to investigate the connectivity and security of the Internet of Vehicles (IoV) by employing multiple IRSs in the mmWave network. Cognitive radio technology will be added to the communication system design to help reduce wireless spectrum shortages while controlling mutual interference between networks. Additionally, Intelligent Transportation System are evaluated for their ability to serve a wide range of heterogeneous real-time applications, and the mutual trust-sharing method is used to measure the trust of communicating vehicles and infrastructure components.