Throughput-efficient blockchain for Internet-of-Vehicles
Internet-of-Vehicles (IoV) is empowering smart vehicles with data collection and sharing capabilities, and blockchains have been introduced to manage the IoV data due to many advantages, including decentralization, security, reliability, and scalability. Nevertheless, existing IoV blockchain models suffer from poor security against collusion attacks instigated by malicious blockchain miners typically represented by roadside units (RSUs). To address this problem, additional block verifiers, e.g., vehicles, can be recruited during block verification, which enhances security but also can lead to the reduced throughput. Therefore, in this paper, we propose a resource management scheme for IoV blockchains to enhance the system security while maximizing the throughput by optimizing contributed computing resources from RSUs and recruited vehicles. We show that the optimal strategies of RSUs and vehicles can be found through the Karush-Kuhn-Tucker (KKT) conditions and verify (using simulations) that our scheme achieves the higher throughput with enhanced security compared to the existing IoV blockchains.
Funding
Academic Centre of Excellence in Cyber Security Research - University of Warwick
Engineering and Physical Sciences Research Council
Find out more...AutoTrust: Designing a Human-Centered Trusted, Secure, Intelligent and Usable Internet of Vehicles
UK Research and Innovation
Find out more...Guangdong Provincial Department of Education, Characteristic Innovation Project No. 2021KTSCX110
History
School
- Science
Department
- Computer Science
Published in
2021 IEEE Globecom Workshops (GC Wkshps)Source
2021 IEEE Globecom Workshops (GC Wkshps)Publisher
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher statement
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Publication date
2022-01-24Copyright date
2022ISBN
9781665423908; 9781665423915Publisher version
Language
- en