Blockchain Platform for Monetizing Vehicular Data Aimed at Energy Efficiency
Abstract
This article develops a blockchain-based strategy for monetizing vehicular data with a focus on sustainability. Monetization is defined by rules implemented through smart contracts, which assess not only the driver’s effort in sharing data but also the vehicle’s usage and energy consumption. The solution is being implemented using Hyperledger Fabric and Kubernetes tools, providing data transparency, integrity, and traceability while encourages sustainable driving practices and the adoption of more energy-efficient vehicles.References
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Sterk, F., Dann, D., and Weinhardt, C. (2022). Monetizing car data: A literature review on data-driven business models in the connected car domain. In HICSS, pages 1–10.
Yu, Z., Ma, H., Guo, B., and Yang, Z. (2021). Crowdsensing 2.0. Communications of the ACM, 64(11):76–80.
George, A. S. and George, A. H. (2022). Data sharing made easy by technology trends: New data sharing and privacy preserving technologies that bring in a new era of data monetization. Partners Universal International Research Journal, 1(3):13–19.
Javaid, A., Zahid, M., Ali, I., Khan, R. J. U. H., Noshad, Z., and Javaid, N. (2020). Reputation system for iot data monetization using blockchain. In Advances on Broad-Band Wireless Computing, Communication and Applications: Proceedings of the 14th International Conference on Broad-Band Wireless Computing, Communication and Applications (BWCCA-2019) 14, pages 173–184. Springer.
Khezr, S., Yassine, A., and Benlamri, R. (2023). Towards a secure and dependable iot data monetization using blockchain and fog computing. Cluster Computing, 26(2):1551–1564.
Orlov, A. and Kallbekken, S. (2019). The impact of consumer attitudes towards energy efficiency on car choice: Survey results from norway. Journal of Cleaner Production, 214:816–822.
Parvinen, P., Pöyry, E., Gustafsson, R., Laitila, M., and Rossi, M. (2020). Advancing data monetization and the creation of data-based business models. Communications of the association for information systems, 47:25–49.
Ray, A., Chowdhury, C., Bhattacharya, S., and Roy, S. (2023). A survey of mobile crowdsensing and crowdsourcing strategies for smart mobile device users. CCF Transactions on Pervasive Computing and Interaction, 5(1):98–123.
Rocha, G., Oliveira, L., and Talamini, E. (2021). Blockchain applications in agribusiness: A systematic review. Future Internet, 13:95.
Sterk, F., Dann, D., and Weinhardt, C. (2022). Monetizing car data: A literature review on data-driven business models in the connected car domain. In HICSS, pages 1–10.
Yu, Z., Ma, H., Guo, B., and Yang, Z. (2021). Crowdsensing 2.0. Communications of the ACM, 64(11):76–80.
Published
2024-09-16
How to Cite
SILVA, Stephanie; SILVA, Victor; OLIVEIRA, Malkai; MELO JR., Wilson.
Blockchain Platform for Monetizing Vehicular Data Aimed at Energy Efficiency. In: WORKSHOP ON SCIENTIFIC INITIATION AND UNDERGRADUATE ONGOING WORKS - BRAZILIAN SYMPOSIUM ON CYBERSECURITY (SBSEG), 24. , 2024, São José dos Campos/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 390-395.
DOI: https://doi.org/10.5753/sbseg_estendido.2024.243357.
