Published December 11, 2020
| Version v1
Conference paper
Automotive Data Certification Problem: A View on Effective Blockchain Architectural Solutions
- Others:
- Laboratoire d'Electronique, Antennes et Télécommunications (LEAT) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- IEEE
- ANR-17-EURE-0004,UCA DS4H,UCA Systèmes Numériques pour l'Homme(2017)
Citation
APA
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Description
The automotive industry is evolving with connected,autonomous, and electric vehicles handling huge amounts ofdata exchanges between participants in its ecosystem. These data transactions should be certified and valid for the ecosystem to function in an efficient and trusted manner. To address the data integrity and provenance issues, we adopt blockchain technology. In this paper, we propose a consortium blockchain architecture to solve the popular use-case of odometer fraud in the automotive industry. We design the architecture from two approaches: a nonwallet and wallet-based vehicle data certification followed by its qualitative and quantitative evaluation.
Abstract
International audience
Additional details
- URL
- https://hal.archives-ouvertes.fr/hal-02946573
- URN
- urn:oai:HAL:hal-02946573v1
- Origin repository
- UNICA