Enhancing Data Privacy in Federated Data Spaces: Hierarchical Secret-Share based Pseudonymization

Author:

Morabito Gabriele1ORCID,Galletta Antonino1ORCID,Celesti Antonio1ORCID,Villari Massimo1ORCID,Fazio Maria1ORCID

Affiliation:

1. University of Messina, Messina, Italy

Funder

Italian Ministry of Health

European Union (NextGeneration EU)

Italian Ministry of University and Research (MUR)

Publisher

ACM

Reference5 articles.

1. Galletta, A., Taheri, J., Celesti, A., Fazio, M., and Villari, M. Investigating the applicability of nested secret share for drone fleet photo storage. IEEE Transactions on Mobile Computing (2023), 1--13.

2. Overcoming security limitations of Secret Share techniques: the Nested Secret Share

3. Privacy-preserving collaborative machine learning in biomedical applications

4. A Pseudonymisation Protocol With Implicit and Explicit Consent Routes for Health Records in Federated Ledgers

5. Tachepun, C., and Thammaboosadee, S. A data masking guideline for optimizing insights and privacy under gdpr compliance. In Proceedings of the 11th International Conference on Advances in Information Technology (New York, NY, USA, 2020), IAIT2020, Association for Computing Machinery.

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