Interactive Method for Publishing Tabular Data with Privacy Preservation

Data publishing in healthcare raises major concerns due to the sensitive data involved. In this paper, we propose an interactive method for data publishing with privacy preservation between the Manager (data publisher) and the Miner (data requester), in which the Miner specifies the manipulations accepted in the data based on the privacy level defined by the Manager. The method works with structured tabular data and privacy regarding protecting records and attributes. Through a use case, we demonstrate that the use of the proposed method made it possible to prove privacy in data publication, with an impact of less than 3% on the usefulness of the data.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/cbms65348.2025.00048
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
0.00

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article

Interactive Method for Publishing Tabular Data with Privacy Preservation

Bruno Roberto Silva de Moraes, Luciano Coutinho, Antônio Gilvan Teixeira Júnior, Ariel Soares Teles et al.
Advanced Database Systems and Queries
article

Interactive Method for Publishing Tabular Data with Privacy Preservation

Bruno Roberto Silva de Moraes, Luciano Coutinho, Antônio Gilvan Teixeira Júnior, Ariel Soares Teles, Francisco Silva, Josenildo C. da Silva
article en

Abstract

Data publishing in healthcare raises major concerns due to the sensitive data involved. In this paper, we propose an interactive method for data publishing with privacy preservation between the Manager (data publisher) and the Miner (data requester), in which the Miner specifies the manipulations accepted in the data based on the privacy level defined by the Manager. The method works with structured tabular data and privacy regarding protecting records and attributes. Through a use case, we demonstrate that the use of the proposed method made it possible to prove privacy in data publication, with an impact of less than 3% on the usefulness of the data.

Instituto Federal do Maranhão (BR), Universidade Federal do Maranhão (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 83%
Advanced Database Systems and Queries
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Interactive Method for Publishing Tabular Data with Privacy Preservation — Bruno Roberto Silva de Moraes, Luciano Coutinho, et al. · (2025) | TGRS Research Map | TGRS