Privacy in Statistical Databases
Springer Berlin (Verlag)
978-3-540-22118-0 (ISBN)
Foundations of Tabular Protection.- Survey on Methods for Tabular Data Protection in ARGUS.- Data Swapping: Variations on a Theme by Dalenius and Reiss.- Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies.- Methods for Tabular Protection.- A New Tool for Applying Controlled Rounding to a Statistical Table in Microsoft Excel.- Getting the Best Results in Controlled Rounding with the Least Effort.- Computational Experiments with Minimum-Distance Controlled Perturbation Methods.- Balancing Quality and Confidentiality for Multivariate Tabular Data.- Reducing the Set of Tables ? -ARGUS Considers in a Hierarchical Setting.- Approaches to Identify the Amount of Publishable Information in Business Surveys through Waivers.- Maximum Utility-Minimum Information Loss Table Server Design for Statistical Disclosure Control of Tabular Data.- A Fast Network Flows Heuristic for Cell Suppression in Positive Tables.- Masking for Microdata Protection.- On the Security of Noise Addition for Privacy in Statistical Databases.- Microaggregation for Categorical Variables: A Median Based Approach.- Evaluating Fuzzy Clustering Algorithms for Microdata Protection.- To Blank or Not to Blank? A Comparison of the Effects of Disclosure Limitation Methods on Nonlinear Regression Estimates.- Outlier Protection in Continuous Microdata Masking.- Risk in Microdata Protection.- Re-identification Methods for Masked Microdata.- Masking and Re-identification Methods for Public-Use Microdata: Overview and Research Problems.- A Bayesian Hierarchical Model Approach to Risk Estimation in Statistical Disclosure Limitation.- Individual Risk Estimation in ?-Argus: A Review.- Analysis of Re-identification Risk Based on Log-Linear Models.- Synthetic Data.- New Approaches toConfidentiality Protection: Synthetic Data, Remote Access and Research Data Centers.- Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data.- Fast Generation of Accurate Synthetic Microdata.- Software and Case Studies.- Trade-Off between Disclosure Risk and Information Loss Using Multivariate Microaggregation: A Case Study on Business Data.- The ARGUS Software in the CASC-Project.- Different Grades of Statistical Disclosure Control Correlated with German Statistics Law.- Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience.- Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type.
Erscheint lt. Verlag | 1.6.2004 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | X, 374 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 580 g |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Schlagworte | anonymity • bayesian model • Clustering • Data Analysis • Database • data masking • Data Mining • Data Security • Datenbank; Fachdatenbanken • Datenschutz • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Inference Control • privacy • Privatheit • Statistical Confidentiality • Statistical Databases • Statistical Disclosure Control • tabular protection |
ISBN-10 | 3-540-22118-2 / 3540221182 |
ISBN-13 | 978-3-540-22118-0 / 9783540221180 |
Zustand | Neuware |
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