Building Scalable and Quantum Attack Resistant Authenticated Message Delivery System for Internet of Vehicles With Blockchain Consensus Mechanism

The goal of intelligent transportation systems is becoming more and more realized with the use of the Internet of Vehicles (IoV) and the rapid advancement of processing and communication technologies. Nonetheless, a lot of Internet of Vehicles applications depend on a central processing and storage unit as well as wireless transmission mediators. This may result in exorbitant expenses and delays, as well as the disclosure of real data. We suggest the Vehicle-Based Quantum-Safe Blockchain Consensus (VBQBC) algorithm as a solution to these problems and an enhancement of the effectiveness of data storage, authentic processing, and data sharing in the Internet of Vehicles. The proposed VBQBC algorithm uses a consensus algorithm and blockchain technology to assure authentic communication between cars, overcoming the shortcomings and constraints of current state-of-the-art systems. This algorithm uses ring learning with errors, and short integer solution assumptions in the construction of aggregation signatures to provide authenticity in blockchain technology. This aggregation technique reduces the size of data required for verification and improves scalability. The algorithm also incorporates a quantum-safe authentication procedure as well as a key distribution and request process, which are demonstrated when vehicles move between different zones. This allows blockchain-based systems to maintain their security, scalability, and efficiency even in the face of future cryptographic problems. The aggregation of signatures size for the proposed framework to the number of signatures to be aggregated N varies between 210$$ {2}<^>{10} $$ (63.48 kb) and 220$$ {2}<^>{20} $$ (131.34 kb). For aggregation of 210$$ {2}<^>{10} $$ signatures, the proposed framework has signature size 6.3 kb, and the aggregated size of signatures is 64 kb. In simulation findings, our suggested VBQBC algorithm outperformed previous techniques in terms of authentication delay, key processing time, attack detection rate, throughput, and packet loss rate.