Privacy in Statistical Databases

1. Front Matter

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2. Tabular Data Protection

   1. p% Should Dominate

      • Peter-Paul de Wolf, Anco Hundepool

      Pages 1-10

   2. A Computational Evaluation of Optimization Solvers for CTA

      • Jordi Castro

      Pages 11-21

   3. Flexible Rounding Based on Consistent Post-tabular Stochastic Noise

      • Sarah Giessing

      Pages 22-34

   4. Comparing L ₁ and L ₂ Distances for CTA

      • Jordi Castro

      Pages 35-46

   5. An Investigation of Model-Based Microdata Masking for Magnitude Tabular Data Release

      • Mario Trottini, Krish Muralidhar, Rathindra Sarathy

      Pages 47-62

3. Microdata Protection: Methods and Disclosure Risk

   1. Testing of IHSN C++ Code and Inclusion of New Methods into sdcMicro

      • Alexander Kowarik, Matthias Templ, Bernhard Meindl, Francois Fonteneau, Bernd Prantner

      Pages 63-77

   2. Clustering-Based Categorical Data Protection

      • Jordi Marés, Vicenç Torra

      Pages 78-89

   3. Anonymization Methods for Taxonomic Microdata

      • Josep Domingo-Ferrer, Krish Muralidhar, Guillem Rufian-Torrell

      Pages 90-102

   4. Hybrid Microdata via Model-Based Clustering

      • Anna Oganian, Josep Domingo-Ferrer

      Pages 103-115

   5. Logistic Regression with Variables Subject to Post Randomization Method

      • Yong Ming Jeffrey Woo, Aleksandra B. Slavković

      Pages 116-130

   6. Valid Statistical Inference on Automatically Matched Files

      • Rob Hall, Stephen Fienberg

      Pages 131-142

4. Microdata Protection: Case Studies

   1. n-Cycle Swapping for the American Community Survey

      • Michael DePersio, Marlow Lemons, Kaleli A. Ramanayake, Julie Tsay, Laura Zayatz

      Pages 143-164

   2. Generating Useful Test Data for Complex Linked Employer-Employee Datasets

      • Matthias Dorner, Jörg Drechsler, Peter Jacobebbinghaus

      Pages 165-178

   3. When Excessive Perturbation Goes Wrong and Why IPUMS-International Relies Instead on Sampling, Suppression, Swapping, and Other Minimally Harmful Methods to Protect Privacy of Census Microdata

      • Lara Cleveland, Robert McCaa, Steven Ruggles, Matthew Sobek

      Pages 179-187

   4. Achieving Comparability of Earnings

      • Luisa Franconi, Daniela Ichim

      Pages 188-199

   5. Designing Multiple Releases from the Small and Medium Enterprises Survey

      • Flavio Foschi, Maria Cristina Casciano, Luisa Franconi, Daniela Ichim

      Pages 200-215

   6. A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs

      • John M. Abowd, Lars Vilhuber, William Block

      Pages 216-225

5. Spatial Data Protection

   1. Confidentialising Maps of Mixed Point and Diffuse Spatial Data

      • Christine M. O’Keefe

      Pages 226-240

6. Differential Privacy

   1. Security of Random Output Perturbation for Statistical Databases

      • Daniel Z. Zanger

      Pages 241-256

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2012, held in Palermo, Italy, in September 2012 under the sponsorship of the UNESCO chair in Data Privacy. The 27 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on tabular data protection; microdata protection: methods and disclosure risk; microdata protection: case studies; spatial data protection; differential privacy; on-line databases and remote access; privacy-preserving protocols.

• data anonymization
• multivariate risk assessment
• privacy preserving data mining
• search engine
• taxonomic data
• data structures

• Departament d’Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili UNESCO Chair in Data Privacy, Tarragona, Spain

  Josep Domingo-Ferrer

• Dipartimento di Ingegneria Elettrica, Elettronica e delle Telecomunicazioni, di tecnologie Chimiche, Automatica e modelli Matematici, Università degli Studi di Palermo, Palermo, Italy

  Ilenia Tinnirello

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