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Using Blockchain for Data Collection in the Automotive Industry Sector: A Literature Review
University West, School of Business, Economics and IT, Divison of Informatics.
University West, School of Business, Economics and IT, Divison of Informatics.
University West, School of Business, Economics and IT, Divison of Informatics.
2022 (English)In: Journal of Cybersecurity and Privacy, E-ISSN 2624-800X, Vol. 2, no 2, p. 257-275Article in journal (Refereed) Published
Abstract [en]

Today’s cars can share data with other cars, automakers, and service providers. Shared data can help improve the driving experience, the performance of the car, and the traffic situations. Among all data-collection techniques, blockchain technology offers an immutable and secure solution to support data collection in the automotive industry. Despite its advantages, collecting auto data with blockchain still faces several challenges. Thus, the purpose of this study was to conduct a review of published articles that have addressed the challenges of adopting blockchain for data collection in the automotive industry. This paper allowed us to answer the predefined research question: “What are the challenges of using blockchain for data collection in the automotive industry as presented in the published literature?” The review included articles published from 2017 to January 2022, and from the screened records, 13 articles were analyzed in full-text form. The founded challenges were categorized into seven categories: connectivity, privacy, security attacks, scalability, performance, costs, and monetizing. This review will help researchers, car manufacturers, and third-party suppliers to assess the applicability of the blockchain for data collection.

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 2, no 2, p. 257-275
Keywords [en]
blockchain, automotive industry, data collection, security attacks, cost, efficiency, connectivity, latency, monetizing
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hv:diva-18308DOI: 10.3390/jcp2020014Scopus ID: 2-s2.0-85138673182OAI: oai:DiVA.org:hv-18308DiVA, id: diva2:1659920
Available from: 2022-05-23 Created: 2022-05-23 Last updated: 2024-04-08

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fulltext(827 kB)466 downloads
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Mohammad, Abdulghafour

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