A Measure of Disclosure Risk for Microdata

DOI10.1111/1467-9868.00365zbMath1067.62015OpenAlexW2025385081MaRDI QIDQ4672167

C. J. Skinner, M. J. Elliot

Publication date: 29 April 2005

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9868.00365

zbMATH Keywords

Statistical disclosure controlConfidentiality protectionFinite population inferenceSample survey data

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Applications of statistics (62P99)

Related Items (11)

Quantifying Privacy: A Novel Entropy-Based Measure of Disclosure Risk ⋮ Re‐identification in the Absence of Common Variables for Matching ⋮ On Invariant Post‐randomization for Statistical Disclosure Control ⋮ Measuring Identification Risk in Microdata Release and Its Control by Post‐randomisation ⋮ Data confidentiality: a review of methods for statistical disclosure limitation and methods for assessing privacy ⋮ An information theoretic approach to post randomization methods under differential privacy ⋮ A post-randomization method for rigorous identification risk control in releasing microdata ⋮ Estimating frequencies of frequencies in finite populations ⋮ Optimal disclosure risk assessment ⋮ Bayesian nonparametric disclosure risk assessment ⋮ Post-randomization for controlling identification risk in releasing microdata from general surveys

Cites Work

• Elements of statistical disclosure control
• Approximation Theorems of Mathematical Statistics
• Unnamed Item

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