Inference Control in Statistical Databases

From Theory to Practice

Josep Domingo-Ferrer

232 pages, parution le 28/05/2002

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Résumé

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.

Contents

Tabular Data Protection
Cell Suppression : Experience an Theory
Bounds on Entries in 3-Dimensional Contingency Tables Subject to Given Marginal
Extending Cell Suppression to Protect Tabular Data against Several
Network Flows Heuristics for Complementary Cell Suppression : An Empirical Evaluation an Estensions
HiTaS : A Heuristic Approach to Cell Suppression in Hierarchical Tables

Microdata Protection
Model Base Disclosure Protection
Microdata Protection through Noise Addition
Sensitive Micro Data Protection Using Latin Hypercube Sampling Technique
Integrating File an Record Level Disclosure Risk Assessment
Disclosure Risk Assessment in Perturbative Microdata Protection
LHS-Based Hybrid Microdata vs Rank Swapping an Microaggregation for Numeric Microdata Protection
Post-Masking Optimization of the Tradeoff between Information Loss and Disclosure Risk in Masked Microdata Sets

Software and User Case Studies
The CASC Project
Tools and Strategies to Protect Multiples Tables with the GHQUAR Cell Suppression Engine
SDC in the 2000 U.S. Decennial Census
Applications of Statistical Disclosure Control at Statistics Netherlands
Empirical Evidences on Protecting Population Uniqueness at Idescat

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Josep Domingo-Ferrer
Parution	28/05/2002
Nb. de pages	232
Format	15,5 x 23,5
Couverture	Broché
Poids	382g
Intérieur	Noir et Blanc
EAN13	9783540436140