A Blockchain-based Data Sharing Platform for Smart Cities
- DOI
- 10.2991/978-94-6463-108-1_10How to use a DOI?
- Keywords
- Blockchain; Smart Cities; Data Governance; Data Sharing
- Abstract
With the development of technology, big data applications have gradually penetrated the scope of smart cities. Therefore, building a new type of Smart City is essential to optimize the national governance system and its capacity. That requires the cooperation of all government sectors to form a positive incentive mechanism for information sharing. However, the massive amount of social operations data raises several issues, such as data islands, inconsistent data standards, data privacy, and security to smart city data governance. Hence, this paper proposes a data collaborative governance method based on blockchain and secure multiparty computing in a trusted execution environment, and incorporates it in designing a datasharing platform for Smart Cities. The results of pressure tests showed that the functions of each module could operate normally, which were aligned with expectations. This design enables innovative urban governance and alleviates the security and privacy issues in traditional Smart Cities. Therefore, the proposed platform stands highly promising for optimizing data governance in Smart Cities.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenqi Zheng PY - 2022 DA - 2022/12/30 TI - A Blockchain-based Data Sharing Platform for Smart Cities BT - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022) PB - Atlantis Press SP - 75 EP - 85 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-108-1_10 DO - 10.2991/978-94-6463-108-1_10 ID - Zheng2022 ER -