統(tǒng)計數(shù)據(jù)庫中的隱私

內(nèi)容概要

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2006, held in December 2006 in Rome, Italy as the main conference of the CENEX-SDC (CENtre of EXcellence for Statistical Disclosure Control) project.　　The 31 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on methods for tabular protection, utility and risk in tabular protection, methods for microdata protection, utility and risk in microdata protection, protocols for private computation, case studies, and software.

書籍目錄

Methods for Tabular Protection  A Method for Preserving Statistical Distributions Subject to Controlled Tabular Adjustment  Automatic Structure Detection in Constraints of Tabular Data  A New Approach to Round Tabular Data  Harmonizing Table Protection: Results of a StudyUtility and Risk in Tabular Protection  Effects of Rounding on the Quality and Confidentiality of Statistical Data  Disclosure Analysis for Two-Way Contingency Tables  Statistical Disclosure Control Methods Through a Risk-Utility Framework  A Generalized Negative Binomial Smoothing Model for Sample Disclosure Risk Estimation  Entry Uniqueness in Margined TablesMethods for Microdata Protection  Combinations of SDC Methods for Microdata Protection  A Fixed Structure Learning Automaton Micro-aggregation Technique for Secure Statistical Databases  Optimal Multivariate 2-Microaggregation for Microdata Protection A 2-Approximation  Using the Jackknife Method to Produce Safe Plots of Microdata  Combining Blanking and Noise Addition as a Data Disclosure Limitation Method  Why Swap When You Can Shuffle? A Comparison of the Proximity Swap and Data Shuffle for Numeric Data  Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic DataUtility and Risk in Microdata Protection  Risk, Utility and PRAM  Distance Based Re-identification for Time Series, Analysis of Distances  Beyond k-Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk  Using Mahalanobis Distance-Based Assessment  Record Linkage for Disclosure Risk  Improving Individual Risk EstimatorsProtocols for Private Case StudiesSoftware Author Index

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