Quantitatively Measuring Privacy in Interactive Query Settings Within RDBMS Framework

Little attention has been paid to the measurement of risk to privacy in Database Management Systems, despite their prevalence as a modality of data access. This paper proposes PriDe, a quantitative privacy metric that provides a measure (privacy score) of privacy risk when executing queries in relat...

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Detalles Bibliográficos
Autores principales: Khan, Muhammad Imran, Foley, Simon N., O'Sullivan, Barry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931922/
https://www.ncbi.nlm.nih.gov/pubmed/33693386
http://dx.doi.org/10.3389/fdata.2020.00011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931922/
https://www.ncbi.nlm.nih.gov/pubmed/33693386
http://dx.doi.org/10.3389/fdata.2020.00011

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