- Title
- Blockchain-based data privacy management with Nudge theory in open banking
- Creator
- Wang, Hao; Ma, Shenglan; Dai, Hong-Ning; Imran, Muhammad; Wang, Tongsen
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/184671
- Identifier
- vital:16559
- Identifier
-
https://doi.org/10.1016/j.future.2019.09.010
- Identifier
- ISBN:0167-739X (ISSN)
- Abstract
- Open banking brings both opportunities and challenges to banks all over the world especially in data management. A blockchain as a continuously growing list of records managed by a peer-to-peer network is widely used in various application scenarios; and it is commonly agreed that the blockchain technology can improve the protection of financial data privacy. However, current blockchain technology still poses some challenges in fully meeting the needs of financial data privacy protection. In order to address the existing problems, this paper proposes a new data privacy management framework based on the blockchain technology for the financial sector. The framework consists of three components: (1) a data privacy classification method according to the characteristics of financial data; (2) a new collaborative-filtering-based model; and (3) a data disclosure confirmation scheme for customer strategies based on the Nudge Theory. We implement a prototype and propose a set of algorithms for this framework. The framework is validated through field experiments and laboratory experiments. © 2019 Elsevier B.V.
- Publisher
- Elsevier B.V.
- Relation
- Future Generation Computer Systems Vol. 110, no. (2020), p. 812-823
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2019 Elsevier B.V.
- Rights
- Open Access
- Subject
- 4604 Cybersecurity and Privacy; 4606 Distributed Computing and Systems Software; Blockchain; Data privacy management; Nudge theory; Open banking
- Full Text
- Reviewed
- Funder
- This work is partially funded by the Fujian Fumin Foundation and is partially supported by the Science and Technology Planning Project of Guangdong Province (No. 2017A050501035 ), Science and Technology Program of Guangzhou (No. 201807010058 ), and the Deanship of Scientific Research, King Saud University through research group number RG-1435-051.
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