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Throughput-efficient blockchain for Internet-of-Vehicles

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conference contribution
posted on 2024-10-16, 16:12 authored by Weiquan Ni, Alia AsheralievaAlia Asheralieva, Carsten Maple, Md Monjurul Karim, Dusit Niyato, Qiang Yan

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

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PETRAS 2

UK Research and Innovation

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The Alan Turing Institute

Engineering and Physical Sciences Research Council

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AutoTrust: Designing a Human-Centered Trusted, Secure, Intelligent and Usable Internet of Vehicles

UK Research and Innovation

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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

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher 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

2022-01-24

Copyright date

2022

ISBN

9781665423908; 9781665423915

Language

  • en

Event dates

7th December 2021 - 11th December 2021

Depositor

Dr Alia Asheralieva. Deposit date: 29 May 2024

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