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.
Author(s): Lawrence H. Cox, Jean G. Orelien, Babubhai V. Shah (auth.), Josep Domingo-Ferrer, Luisa Franconi (eds.)
Series: Lecture Notes in Computer Science 4302 : Information Systems and Applications, incl. Internet/Web, and HCI
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006
Language: English
Pages: 383
Tags: Database Management; Probability and Statistics in Computer Science; Computers and Society; Legal Aspects of Computing; Artificial Intelligence (incl. Robotics); Statistics and Computing/Statistics Programs
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 -
