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Privacy-Preserving Management of Open Banking Data

Author

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  • Atanas Panayotov

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

The introduction of open banking in the EU has fostered an environment that drives innovation within the financial sector. This shift has enabled FinTech companies to develop a diverse range of services that leverage open access to banking data. However, by the end of 2024 – six years after its adoption – only 13% of EU consumers actively use these services. The broader adoption of open banking faces several challenges, with this study focusing on one of the most critical: data privacy. Specifically, it explores a quantitative methodology for assessing privacy risks within anonymized datasets, using an open banking dataset generated through synthetic data algorithms. The findings indicate that synthetic data techniques provide an effective solution for mitigating privacy risks associated with managing open banking data.

Suggested Citation

  • Atanas Panayotov, 2025. "Privacy-Preserving Management of Open Banking Data," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 115-127, July.
  • Handle: RePEc:nwe:iisabg:y:2025:i:2:p:115-127
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    Keywords

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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G50 - Financial Economics - - Household Finance - - - General

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