Immutable autobiography of smart cars leveraging blockchain technology

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Author(s)
Ferdous, Md Sadek
Chowdhury, Mohammad Jabed Morshed
Biswas, Kamanashis
Chowdhury, Niaz
Muthukkumarasamy, Vallipuram
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2020
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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.

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Knowledge Engineering Review

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35

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© 2020 Cambridge University Press. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.

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Artificial intelligence

Cognitive and computational psychology

Science & Technology

Computer Science, Artificial Intelligence

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Ferdous, MS; Chowdhury, MJM; Biswas, K; Chowdhury, N; Muthukkumarasamy, V, Immutable autobiography of smart cars leveraging blockchain technology, Knowledge Engineering Review, 2020, 35, pp. e3:1-e3:17

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