research-article

Integration of Blockchain with Connected and Autonomous Vehicles: Vision and Challenge

Authors:

Tooska Dargahi,

Hossein Ahmadvand,

Mansour Naser Alraja,

Chia-Mu YuAuthors Info & Claims

ACM Journal of Data and Information Quality (JDIQ), Volume 14, Issue 1

Article No.: 5, Pages 1 - 10

https://doi.org/10.1145/3460003

Published: 11 December 2021 Publication History

Abstract

Connected and Autonomous Vehicles (CAVs) are introduced to improve individuals’ quality of life by offering a wide range of services. They collect a huge amount of data and exchange them with each other and the infrastructure. The collected data usually includes sensitive information about the users and the surrounding environment. Therefore, data security and privacy are among the main challenges in this industry. Blockchain, an emerging distributed ledger, has been considered by the research community as a potential solution for enhancing data security, integrity, and transparency in Intelligent Transportation Systems (ITS). However, despite the emphasis of governments on the transparency of personal data protection practices, CAV stakeholders have not been successful in communicating appropriate information with the end users regarding the procedure of collecting, storing, and processing their personal data, as well as the data ownership. This article provides a vision of the opportunities and challenges of adopting blockchain in ITS from the “data transparency” and “privacy” perspective. The main aim is to answer the following questions: (1) Considering the amount of personal data collected by the CAVs, such as location, how would the integration of blockchain technology affect transparency, fairness, and lawfulness of personal data processing concerning the data subjects (as this is one of the main principles in the existing data protection regulations)? (2) How can the trade-off between transparency and privacy be addressed in blockchain-based ITS use cases?

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Cited By

Pujol FMora HRamírez TRocamora CBedón A(2024)Blockchain-Based Framework for Traffic Event Verification in Smart VehiclesIEEE Access10.1109/ACCESS.2024.335273812(9251-9266)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3352738
Abd El Ghafour MAbd El-Malek AHassan OAbo-Zahhad M(2024)Secrecy performance evaluation and enhancement of vehicle-to-vehicle communications in the presence of big vehiclesVehicular Communications10.1016/j.vehcom.2023.10071245:COnline publication date: 16-May-2024
https://dl.acm.org/doi/10.1016/j.vehcom.2023.100712
Abd El Ghafour MAbd El-Malek AHassan OAbo-Zahhad M(2024)Securing cooperative vehicular networks amid obstructing vehicles and mixed fading channelsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2024.110291243:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.comnet.2024.110291
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Index Terms

Integration of Blockchain with Connected and Autonomous Vehicles: Vision and Challenge
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Peer-to-peer architectures
2. Security and privacy
  1. Security services
    1. Pseudonymity, anonymity and untraceability

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Published In

cover image Journal of Data and Information Quality

Journal of Data and Information Quality Volume 14, Issue 1

March 2022

61 pages

ISSN:1936-1955

EISSN:1936-1963

DOI:10.1145/3505184

Editor:
Tiziana Catarci
Sapienza University of Rome, Rome, Italy

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Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 11 December 2021

Accepted: 01 April 2021

Revised: 01 March 2021

Received: 01 December 2020

Published in JDIQ Volume 14, Issue 1

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UK Royal Society Award
Research Council (TRC), Sultanate of Oman (Block Fund-Research Grant)
Ministry of Science and Technology (MOST), Taiwan,

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Cited By

Pujol FMora HRamírez TRocamora CBedón A(2024)Blockchain-Based Framework for Traffic Event Verification in Smart VehiclesIEEE Access10.1109/ACCESS.2024.335273812(9251-9266)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3352738
Abd El Ghafour MAbd El-Malek AHassan OAbo-Zahhad M(2024)Secrecy performance evaluation and enhancement of vehicle-to-vehicle communications in the presence of big vehiclesVehicular Communications10.1016/j.vehcom.2023.10071245:COnline publication date: 16-May-2024
https://dl.acm.org/doi/10.1016/j.vehcom.2023.100712
Abd El Ghafour MAbd El-Malek AHassan OAbo-Zahhad M(2024)Securing cooperative vehicular networks amid obstructing vehicles and mixed fading channelsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2024.110291243:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.comnet.2024.110291
Dewangan NChandrakar P(2023)A privacy-preserved blockchain for vehicles in smart societiesProceedings of the 2023 6th International Conference on Advances in Robotics10.1145/3610419.3610421(1-5)Online publication date: 5-Jul-2023
https://dl.acm.org/doi/10.1145/3610419.3610421
Rajendar SThangavel UDevendran SSelvi VMuthumanickam S(2023)Blockchain for Securing Autonomous Vehicles2023 Second International Conference on Electronics and Renewable Systems (ICEARS)10.1109/ICEARS56392.2023.10085685(713-717)Online publication date: 2-Mar-2023
https://doi.org/10.1109/ICEARS56392.2023.10085685
Schreiber JSausen ADe Campos MSausen PDa Silva Ferreira Filho M(2023)Data Imputation Techniques Applied to the Smart Grids EnvironmentIEEE Access10.1109/ACCESS.2023.326218811(31931-31940)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3262188
Ahmad JZia MNaqvi IChattha JButt FHuang TXiang W(2023)Machine learning and blockchain technologies for cybersecurity in connected vehiclesWIREs Data Mining and Knowledge Discovery10.1002/widm.151514:1Online publication date: 19-Sep-2023
https://doi.org/10.1002/widm.1515
Iskandarani M(2022)Connectivity Effectiveness of Autonomous and Connected Vehicles2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)10.1109/ICECCME55909.2022.9988672(01-05)Online publication date: 16-Nov-2022
https://doi.org/10.1109/ICECCME55909.2022.9988672

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