Affiliations: [a]
Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Chennai, Tamilnadu, India
| [b]
Department of Networking and Communications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Chennai, Tamilnadu, India
Correspondence:
[*]
Corresponding author. R. Naresh, Associate Professor, Department of Networking and Communications, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Chennai, Tamilnadu, 603 203, India. E-mail: [email protected].
Abstract: Vehicular Ad-Hoc Network (VANET) Technology is advancing due to the convergence of VANET and cloud computing technologies, Vehicular Ad-Hoc Network (VANET) entities can benefit from the cloud service provider’s favourable storage and computing capabilities. Cloud computing, the processing and storage capabilities provided by various cloud service providers, would be available to all VANET enterprises. Digital Twin helps in creating a digital view of the Vehicle. It focuses on the physical behaviour of the Vehicle as well as the software it alerts when it finds issues with the performance. The representation of the Vehicle is created using intelligent sensors, which are in OBU of VANET that help collect info from the product. The author introduces the Cloud-based three-layer key management for VANET in this study. Because VANET connections can abruptly change, critical negotiation verification must be completed quickly and with minimal bandwidth. When the Vehicles are in movement, we confront the difficulty in timely methods, network stability, and routing concerns like reliability and scalability. We must additionally address issues such as fair network access, inappropriate behaviour identification, cancellation, the authentication process, confidentiality, and vehicle trustworthiness verification. The proposed All-Wheel Control (AWC) method in this study may improve the safety and efficiency of VANETs. This technology would also benefit future intelligent transportation systems. The Rivest–Shamir–Adleman (RSA) algorithm and Chinese Remainder Theorem algorithms generate keys at the group, subgroup, and node levels. The proposed method produces better results than the previous methods.
