Inference Control in Statistical Databases : From Theory to Practice

by Domingo-Ferrer, Josep

• ISBN13: 9783540436140
• ISBN10: 3540436146
• Format: Paperback
• Copyright: 2002-06-01
• Publisher: Springer Verlag

Summary

Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science. This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.

Table of Contents

Advances in Inference Control in Statistical Databases: An Overview	1	(7)
Josep Domingo-Ferrer
Tabular Data Protection
Cell Suppression: Experience and Theory	8	(13)
Dale A. Robertson
Richard Ethier
Bounds on Entries in 3-Dimensional Contingency Tables Subject to Given Marginal Totals	21	(13)
Lawrence H. Cox
Extending Cell Suppression to Protect Tabular Data against Several Attackers	34	(25)
Juan Jose Salazar Gonzalez
Network Flows Heuristics for Complementary Cell Suppression: An Empirical Evaluation and Extensions	59	(15)
Jordi Castro
HiTaS: A Heuristic Approach to Cell Suppression in Hierarchical Tables	74	(9)
Peter-Paul de Wolf
Microdata Protection
Model Based Disclosure Protection	83	(14)
Silvia Polettina
Luisa Franconi
Julian Stander
Microdata Protection through Noise Addition	97	(20)
Ruth Brand
Sensitive Micro Data Protection Using Latin Hypercube Sampling Technique	117	(9)
Ramesh A. Dandekar
Michael Cohen
Nancy Kirkendall
Integrating File and Record Level Disclosure Risk Assessment	126	(9)
Mark Elliot
Disclosure Risk Assessment in Perturbative Microdata Protection	135	(18)
William E. Yancey
William E. Winkler
Robert H. Creecy
LHS-Based Hybrid Microdata vs Rank Swapping and Microaggregation for Numeric Microdata Protection	153	(10)
Ramesh A. Dandekar
Josep Domingo-Ferrer
Francesc Sebe
Post-Masking Optimization of the Tradeoff between Information Loss and Disclosure Risk in Masked Microdata Sets	163	(9)
Francesc Sebe
Josep Domingo-Ferrer
Josep Maria Mateo-Sanz
Vicenc Torra
Software and User Case Studies
The CASC Project	172	(9)
Anco Hundepool
Tools and Strategies to Protect Multiples Tables with the GHQUAR Cell Suppression Engine	181	(12)
Sarah Giessing
Dietz Repsilber
SDC in the 2000 U.S. Decennial Census	193	(10)
Laura Zayatz
Applications of Statistical Disclosure Control at Statistics Netherlands	203	(10)
Eric Schulte Nordholt
Empirical Evidences on Protecting Population Uniqueness at Idescat	213	(18)
Julia Urrutia
Enric Ripoll
Author Index	231