Cyril Naves Samue, Glock Severine, Bercovitz David, F. Verdier, Guitton-Ouhamou Patricia
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Automotive Data Certification Problem: A View on Effective Blockchain Architectural Solutions
The automotive industry is evolving with connected, autonomous, and electric vehicles handling huge amounts of data 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 non-wallet and wallet-based vehicle data certification followed by its Qualitative and Quantitative evaluation.