ABSTRACT 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 (63.48 kb) and (131.34 kb). For aggregation of 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.

The authenticated key agreement is one of the major security services that can be used to secure an Internet of Things (IoT) environment, where the devices collect the data and the data is then aggregated at the cloud server, and then a user needs to access the data stored at the server(s) securely. For this purpose, after a mutual authentication performed between a user and the accessed server, a session key needs to be established among them for secure communication. In this article, we design an efficient lattice-based authenticated key exchange protocol using ring-based version of learning with errors assumption for the IoT-enabled smart devices. The proposed protocol is basically a key exchange that uses the reconciliation mechanism. The detailed security analysis under the standard model has been performed along with the informal security analysis to show that the proposed protocol is robust against different attacks. We then simulate the proposed protocol under the NS-3 simulator to measure the network performance parameters like network throughput and latency. A comparative analysis shows that the proposed protocol has superior security, less computational cost, and comparable communication cost when compered these parameters with the other competing schemes.

Summary Internet of things environment is adopted widely in different industries and business organizations with varying capacity. It provides a favorable environment to outsource the crowdsourced data in the cloud to minimize the cost of computation, which is called crowdsourcing. Crowdsourcing is a technique where individuals or organizations obtain goods and services. A professional or industry outsource the crowdsourced data in the cloud, where confidentiality and authenticity of data become essential. Signcryption is the cryptographic technique that serves both the authenticity and the privacy of transmitted messages. This technique ensures secure authentic data transmission and storage. Therefore, this paper proposes an identity‐based signcryption scheme. In the proposed PSSCC framework, the user does pairing free computation during signcryption, which makes efficient calculation on user‐side. Moreover, PSSCC framework is proved secure under modified bilinear Diffie‐Hellman inversion and modified bilinear strong Diffie‐Hellman problems. The performance analysis of PSSCC with related schemes indicates that the proposed system supports efficient communication along with less computation cost.