Secured Privacy Preserving Techniques Analysis of 6G Driven Vehicular Communication Network in Industry 5.0 Internet-of-Everything (IoE) Applications

In order to obtain favorable outcomes with low latency communication overheads, industry and academia are currently concentrating on sixth-generation (6G) network communications for vehicular communications after the widespread deployment of fifth-generation (5G) network communications. A issue in 6G network communication is security and privacy due to the environment's diversity and dynamic nature. The solutions to these problems can be found in blockchain technology. Additionally, it is anticipated that Artificial Intelligence (AI) would be used to build the 6G communication network, enabling the use of Machine Learning (ML) techniques to address a variety of issues. Despite the fact that previous ML algorithms required massive data repositories and processing by a central server, this approach has become a hindrance in dealing with large data in practice due to rising privacy concerns. In this paper, we give an overview of the various privacy tactics employed in vehicular communication networks and then look into 6G-driven privacy-preserving methods. We discussed about the Internet-of-(IoE) Everything's potential privacy applications and ongoing research questions on privacy protection in the context of 6G vehicular communication.