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  4. Immutable autobiography of smart cars leveraging blockchain technology
 
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Immutable autobiography of smart cars leveraging blockchain technology
File(s)
SmartCar_KER_Author_version.pdf (648.26 KB)
Accepted version
Author(s)
Ferdous, MD Sadek
Chowdhury, Mohammad Jabed Morshed
Biswas, Kamanashis
Chowdhury, Niaz
Muthukkumarasamy, Vallipuram
Type
Journal Article
Abstract
The popularity of smart cars is increasing around the world as they offer a wide range of services and conveniences. These smart cars are equipped with a variety of sensors generating a large amount of data, many of which are critical. Besides, there are multiple parties involved in the lifespan of a smart car, such as manufacturers, car owners, government agencies, and third-party service providers who also generate data about the vehicle. In addition to managing and sharing data among these entities in a secure and privacy-friendly way which is a great challenge itself, there exists a trust deficit about some types of data as they remain under the custody of the car owner (e.g. satellite navigation and mileage data) and can easily be manipulated. In this article, we propose a blockchain-assisted architecture enabling the owner of a smart car to create an immutable record of every data, called the autobiography of a car, generated within its lifespan. We also explain how the trust about this record is guaranteed by the immutability characteristic of the blockchain. Furthermore, the article describes how the proposed architecture enables a secure and privacy-preserving mechanism for sharing of smart car data among different parties.
Date Issued
2020-01-27
Date Acceptance
2020-01-01
Citation
The Knowledge Engineering Review, 2020, 35
URI
http://hdl.handle.net/10044/1/77542
URL
https://www.cambridge.org/core/journals/knowledge-engineering-review/article/immutable-autobiography-of-smart-cars-leveraging-blockchain-technology/A9C2C31B80091A409ABF05C7671FD331
DOI
https://www.dx.doi.org/10.1017/s0269888920000028
ISSN
0269-8889
Publisher
Cambridge University Press (CUP)
Journal / Book Title
The Knowledge Engineering Review
Volume
35
Copyright Statement
© Cambridge University Press 2020. This paper has been accepted for publication and will appear in a revised form, subsequent to peer-review and/or editorial input by Cambridge University Press.
Identifier
https://www.cambridge.org/core/journals/knowledge-engineering-review/article/immutable-autobiography-of-smart-cars-leveraging-blockchain-technology/A9C2C31B80091A409ABF05C7671FD331
Subjects
Artificial Intelligence & Image Processing
0801 Artificial Intelligence and Image Processing
1702 Cognitive Sciences
Publication Status
Published
Article Number
e3
Date Publish Online
2020-01-27
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