Privacy in Statistical Databases: CENEX-SDC Project International Conference, PSD 2006, Rome, Italy, December 13-15, 2006, Proceedings (Lecture Notes in Computer Science)

Privacy in statistical databases is a discipline whose purpose is to provide - lutions to the con?ict between the increasing social, political and economical demand of accurate information, and the legal and ethical obligation to protect the privacy of the individuals and enterprises to which statistical data refer. - yond law and ethics, there are also practical reasons for statistical agencies and data collectors to invest in this topic: if individual and corporate respondents feel their privacyguaranteed, they arelikelyto providemoreaccurateresponses. There are at least two traditions in statistical database privacy: one stems from o?cial statistics, where the discipline is also known as statistical disclosure control (SDC), and the other originates from computer science and database technology. Bothstartedinthe1970s, butthe1980sandtheearly1990ssawlittle privacy activity on the computer science side. The Internet era has strengthened the interest of both statisticians and computer scientists in this area. Along with the traditional topics of tabular and microdata protection, some research lines have revived and/or appeared, such as privacy in queryable databases and protocols for private data computation Front Matter....Pages - A Method for Preserving Statistical Distributions Subject to Controlled Tabular Adjustment....Pages 1-11 Automatic Structure Detection in Constraints of Tabular Data....Pages 12-24 A New Approach to Round Tabular Data....Pages 25-34 Harmonizing Table Protection: Results of a Study....Pages 35-47 Effects of Rounding on the Quality and Confidentiality of Statistical Data....Pages 48-56 Disclosure Analysis for Two-Way Contingency Tables....Pages 57-67 Statistical Disclosure Control Methods Through a Risk-Utility Framework....Pages 68-81 A Generalized Negative Binomial Smoothing Model for Sample Disclosure Risk Estimation....Pages 82-93 Entry Uniqueness in Margined Tables....Pages 94-101 Combinations of SDC Methods for Microdata Protection....Pages 102-113 A Fixed Structure Learning Automaton Micro-aggregation Technique for Secure Statistical Databases....Pages 114-128 Optimal Multivariate 2-Microaggregation for Microdata Protection: A 2-Approximation....Pages 129-138 Using the Jackknife Method to Produce Safe Plots of Microdata....Pages 139-151 Combining Blanking and Noise Addition as a Data Disclosure Limitation Method....Pages 152-163 Why Swap When You Can Shuffle? A Comparison of the Proximity Swap and Data Shuffle for Numeric Data....Pages 164-176 Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data....Pages 177-188 Risk, Utility and PRAM....Pages 189-204 Distance Based Re-identification for Time Series, Analysis of Distances....Pages 205-216 Beyond k -Anonymity: A Decision Theoretic Framework for Assessing Privacy Risk....Pages 217-232 Using Mahalanobis Distance-Based Record Linkage for Disclosure Risk Assessment....Pages 233-242 Improving Individual Risk Estimators....Pages 243-256 Single-Database Private Information Retrieval Schemes : Overview, Performance Study, and Usage with Statistical Databases....Pages 257-265 Privacy-Preserving Data Set Union....Pages 266-276 “Secure” Log-Linear and Logistic Regression Analysis of Distributed Databases....Pages 277-290 Measuring the Impact of Data Protection Techniques on Data Utility: Evidence from the Survey of Consumer Finances....Pages 291-303 Protecting the Confidentiality of Survey Tabular Data by Adding Noise to the Underlying Microdata: Application to the Commodity Flow Survey....Pages 304-317 Italian Household Expenditure Survey: A Proposal for Data Dissemination....Pages 318-333 The ARGUS Software in CENEX....Pages 334-346 Software Development for SDC in R....Pages 347-359 On Secure e-Health Systems....Pages 360-374 IPUMS-International High Precision Population Census Microdata Samples: Balancing the Privacy-Quality Tradeoff by Means of Restricted Access Extracts....Pages 375-382 Back Matter....Pages - 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

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2006, held in December 2006 in Rome, Italy. The 31 revised full 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, prools for private computation, case studies, and software.