Privacy-preserving automotive data sharing to accelerate mobility service innovation
Reference number | |
Coordinator | RISE Research Institutes of Sweden AB - RISE |
Funding from Vinnova | SEK 500 000 |
Project duration | October 2022 - June 2023 |
Status | Completed |
Venture | Transport and mobility services - FFI |
Call | Transport and mobility services - FFI - June 2022 |
End-of-project report | 2022-01635engelska.pdf (pdf, 1134 kB) |
Important results from the project
This project aims at investigating a privacy-preserving automotive data-sharing platform enabled by advanced encryption technologies and blockchain. The project delivers state-of-the-art of automotive data sharing, Data Act, and privacy-preserving methods for automotive data sharing including blockchain and Web 3.0. The project also delivers a prototype of a privacy-preserving data-sharing system that consists of a data capture system by Alkit Communications AB, a data encryption daemon module by Privasea AB, and data storage.
Expected long term effects
The project demonstrates a data-sharing solution with the integration of blockchain and tokenized economy. The solution leverages blockchain solutions and the latest privacy-preserving technologies for an innovative platform that has the potential to accelerate vehicle data sharing. The solution supports data-driven mobility solutions that contribute to FFI for sustainable mobility solutions with high acceptance by the users and society; and for developing new skills, infrastructure, policy, and regulation, as well as business models.
Approach and implementation
The project group consists of experts from different sectors including automotive data, blockchain, and Web 3.0, and follows closely the latest development within each sector. The project members are active within their sector in participating in conferences and events to follow the latest developments and disseminate the project concepts and results. The project leverages the existing infrastructure and competencies for the conceptualization and prototyping of privacy-preserving data-sharing systems for feasibility study and preparation for further research.