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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...

詳細記述

保存先:
書誌詳細
出版年:Front Big Data
主要な著者: Khan, Muhammad Imran, Foley, Simon N., O'Sullivan, Barry
フォーマット: Artigo
言語:Inglês
出版事項: Frontiers Media S.A. 2020
主題:
オンライン・アクセス: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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