RSFVC: Robust Biometric-Based Secure Framework for Vehicular Cloud Networking

Vehicular cloud networking (VCN) is a new study area that combines vehicular cloud computing (VCC) and information-centric networking. By utilizing VCC technologies, it is effectively use in road security and traffic control. The benefits of VCC in VCN are superior, including faster turnover times, scalability, flexibility, cost savings, greater collaborations, advanced security, the prevention of data loss, data security, minimal maintenance, limitless storage capacity, traffic information aggregation, etc. VCN is an intelligent networking system that manages autonomous traffic, system security, privacy, and vehicle control capabilities. During communication, various adversary types have the potential to compromise the security and privacy of these networks. To preserve their security, privacy, confidentiality, and integrity, such systems require an authentication framework. The paper presents an elliptic curve cryptography (ECC) and biometrics-based secure authenticated framework for VCN. The suggested protocol accomplishes all security, privacy, and other criteria for secure communications against active and passive attackers. It is also demonstrated, both formally and informally, that the proposed framework is secure, correct and efficient. The study further establishes, using the simulation tool AVISPA, that the proposed protocol is secure against man-in-the-middle and replay attacks. Additionally, the study uses BAN logic to demonstrate how the mutual authentication property is proven. In VCN, the proposed protocol efficacy is evaluated and compared to other similar protocols within the study. The results show that the proposed framework is secure and efficient in terms of computation and communication overheads. Consequently, the proposed protocol will be advantageous for VCN.