Privacy in Statistical Databases

UNESCO Chair in Data Privacy International Conference, PSD 2008, Istanbul, Turkey, September 24-26, 2008. Proceedings

Editors:

ISBN: 978-3-540-87470-6 (Print) 978-3-540-87471-3 (Online)

Table of contents (27 chapters)

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  1. Front Matter

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  2. Tabular Data Protection

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      Pages 1-12

      Using a Mathematical Programming Modeling Language for Optimal CTA

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      Pages 13-23

      A Data Quality and Data Confidentiality Assessment of Complementary Cell Suppression

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      Pages 24-36

      Pre-processing Optimisation Applied to the Classical Integer Programming Model for Statistical Disclosure Control

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      Pages 37-49

      How to Make the τ -ARGUS Modular Method Applicable to Linked Tables

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      Pages 50-63

      Bayesian Assessment of Rounding-Based Disclosure Control

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      Pages 64-76

      Cell Bounds in Two-Way Contingency Tables Based on Conditional Frequencies

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      Pages 77-89

      Invariant Post-tabular Protection of Census Frequency Counts

  3. Microdata Protection: Methods and Case Studies

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      Pages 90-99

      A Practical Approach to Balancing Data Confidentiality and Research Needs: The NHIS Linked Mortality Files

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      Pages 100-112

      From t -Closeness to PRAM and Noise Addition Via Information Theory

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      Pages 113-126

      Robustification of Microdata Masking Methods and the Comparison with Existing Methods

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      Pages 127-138

      A Preliminary Investigation of the Impact of Gaussian Versus t-Copula for Data Perturbation

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      Pages 139-151

      Anonymisation of Panel Enterprise Microdata – Survey of a German Project

  4. Microdata Protection: Disclosure Risk Assessment

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      Pages 152-165

      Towards a More Realistic Disclosure Risk Assessment

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      Pages 166-176

      Assessing Disclosure Risk for Record Linkage

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      Pages 177-189

      Robust Statistics Meets SDC: New Disclosure Risk Measures for Continuous Microdata Masking

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      Pages 190-202

      Parallelizing Record Linkage for Disclosure Risk Assessment

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      Pages 203-212

      Extensions of the Re-identification Risk Measures Based on Log-Linear Models

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      Pages 213-226

      Use of Auxiliary Information in Risk Estimation

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      Pages 227-238

      Accounting for Intruder Uncertainty Due to Sampling When Estimating Identification Disclosure Risks in Partially Synthetic Data

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      Pages 239-246

      How Protective Are Synthetic Data?

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