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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Библиографические подробности
Опубликовано в: :Front Big Data
Главные авторы: Khan, Muhammad Imran, Foley, Simon N., O'Sullivan, Barry
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2020
Предметы:
Big Data
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7931922/
https://ncbi.nlm.nih.gov/pubmed/33693386
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fdata.2020.00011
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