Futuristic decentralized vehicular network architecture and repairing management system on blockchain

Document Type

Journal Article

Publication Title

IEEE Internet of Things Journal

Volume

11

Issue

13

First Page

23604

Last Page

23616

Publisher

IEEE

School

School of Engineering

RAS ID

71523

Funders

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology / King Khalid University

Grant Number

cs2201, RGP.2/373/45

Comments

Arshad, U., Halim, Z., Alasmary, H., & Waqas, M. (2024). Futuristic decentralized vehicular network architecture and repairing management system on blockchain. IEEE Internet of Things Journal, 11(13), 23604-23616. https://doi.org/10.1109/JIOT.2024.3386600

Abstract

Blockchain technology is used often as a merger with other technologies to achieve a high level of security, privacy, and robustness and to handle issues, such as maliciousness of nodes, privacy leakage, the selfishness of nodes, communication delays, and high execution and transaction costs. There is currently a lack of a comprehensive system for automating and cost-effectively managing vehicle repairs, maintenance, and other associated services. To solve such issues, we proposed a novel futuristic comprehensive model that integrates a blockchain-based framework to safely record vehicle maintenance, validate repair services, and oversee parts inventory. It employs smart contracts and consensus protocols to secure communications and data storage, thus reducing data breaches and vulnerabilities from single-point failures. A reward system is embedded within the network to encourage positive behavior and deter detrimental actions. We also incorporated advanced privacy-ensuring methods, like zero-knowledge proofs and secure multiparty computation, to safeguard sensitive data while preserving its utility. Our model features automatic detection and response mechanisms for node failure, improving network resilience by 25% thus also providing a 20% reduction in execution, operational costs, and scalability with an enhancement of 15%, underscoring the model's efficiency in vehicular repair and maintenance activities. Results and simulations clearly depict the overall performance and efficiency in terms of security, privacy, node failure, and the management of vehicle repairs with respect to other closely related models.

DOI

10.1109/JIOT.2024.3386600

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