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{ "item_title" : "Privacy in Statistical Databases", "item_author" : [" Josep Domingo-Ferrer "], "item_description" : "Tabular Data Protection.- Enabling Statistical Analysis of Suppressed Tabular Data.- Assessing the Information Loss of Controlled Adjustment Methods in Two-Way Tables.- Further Developments with Perturbation Techniques to Protect Tabular Data.- Comparison of Different Sensitivity Rules for Tabular Data and Presenting a New Rule - The Interval Rule.- Pre-tabular Perturbation with Controlled Tabular Adjustment: Some Considerations.- Measuring Disclosure Risk with Entropy in Population Based Frequency Tables.- A CTA Model Based on the Huber Function.- Microdata Masking Density Approximant Based on Noise Multiplied Data.- Reverse Mapping to Preserve the Marginal Distributions of Attributes in Masked Microdata .- JPEG-Based Microdata Protection.- Protection Using Privacy Models.- Improving the Utility of Differential Privacy via Univariate Microaggregation.- Differentially Private Exponential Random Graphs.- km-Anonymity for Continuous Data Using Dynamic Hierarchies.- Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases.- Synthetic Data.- Disclosure Risk Evaluation for Fully Synthetic Categorical Data.- v-Dispersed Synthetic Data Based on a Mixture Model with Constraints.- Nonparametric Generation of Synthetic Data for Small Geographic Areas.- Using Partially Synthetic Data to Replace Suppression in the Business Dynamics Statistics: Early Results.- Synthetic Longitudinal Business Databases for International Comparisons .- Record Linkage.- A Comparison of Blocking Methods for Record Linkage.- Probabilistic Record Linkage for Disclosure Risk Assessment.- Hierarchical Linkage Clustering with Distributions of Distances for Large-Scale Record Linkage.- Remote Access.- Comparison of Two Remote Access Systems Recently Developed and Implemented in Australia.- Privacy-Preserving Protocols.- Towards Secure and Practical Location Privacy through Private Equality Testing.- Case Studies.- Controlled Shuffling, Statistical Confidentiality and Microdata Utility: A Successful Experiment with a 10% Household Sample of the 2011 Population Census of Ireland for the IPUMS-International Database.- Balancing Confidentiality and Usability: Protecting Sensitive Data in the Case of Inward Foreign AffiliaTes Statistics (FATS).- Applicability of Confidentiality Methods to Personal and Business Data.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/31/911/256/3319112562_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Privacy in Statistical Databases|Josep Domingo-Ferrer

Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, Psd 2014, Ibiza, Spain, September 17-19, 2014. Proceedings

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Overview

Tabular Data Protection.- Enabling Statistical Analysis of Suppressed Tabular Data.- Assessing the Information Loss of Controlled Adjustment Methods in Two-Way Tables.- Further Developments with Perturbation Techniques to Protect Tabular Data.- Comparison of Different Sensitivity Rules for Tabular Data and Presenting a New Rule - The Interval Rule.- Pre-tabular Perturbation with Controlled Tabular Adjustment: Some Considerations.- Measuring Disclosure Risk with Entropy in Population Based Frequency Tables.- A CTA Model Based on the Huber Function.- Microdata Masking Density Approximant Based on Noise Multiplied Data.- Reverse Mapping to Preserve the Marginal Distributions of Attributes in Masked Microdata .- JPEG-Based Microdata Protection.- Protection Using Privacy Models.- Improving the Utility of Differential Privacy via Univariate Microaggregation.- Differentially Private Exponential Random Graphs.- km-Anonymity for Continuous Data Using Dynamic Hierarchies.- Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases.- Synthetic Data.- Disclosure Risk Evaluation for Fully Synthetic Categorical Data.- v-Dispersed Synthetic Data Based on a Mixture Model with Constraints.- Nonparametric Generation of Synthetic Data for Small Geographic Areas.- Using Partially Synthetic Data to Replace Suppression in the Business Dynamics Statistics: Early Results.- Synthetic Longitudinal Business Databases for International Comparisons .- Record Linkage.- A Comparison of Blocking Methods for Record Linkage.- Probabilistic Record Linkage for Disclosure Risk Assessment.- Hierarchical Linkage Clustering with Distributions of Distances for Large-Scale Record Linkage.- Remote Access.- Comparison of Two Remote Access Systems Recently Developed and Implemented in Australia.- Privacy-Preserving Protocols.- Towards Secure and Practical Location Privacy through Private Equality Testing.- Case Studies.- Controlled Shuffling, Statistical Confidentiality and Microdata Utility: A Successful Experiment with a 10% Household Sample of the 2011 Population Census of Ireland for the IPUMS-International Database.- Balancing Confidentiality and Usability: Protecting Sensitive Data in the Case of Inward Foreign AffiliaTes Statistics (FATS).- Applicability of Confidentiality Methods to Personal and Business Data.

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Details

  • ISBN-13: 9783319112565
  • ISBN-10: 3319112562
  • Publisher: Springer
  • Publish Date: September 2014
  • Dimensions: 9.21 x 6.14 x 0.78 inches
  • Shipping Weight: 1.17 pounds
  • Page Count: 367

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