The proceedings contain 31 papers. The special focus in this conference is on Methods for Tabular Protection, Utility and Risk in Tabular Protection. The topics include: A method for preserving statistical distributio...
ISBN:
(纸本)9783540493303
The proceedings contain 31 papers. The special focus in this conference is on Methods for Tabular Protection, Utility and Risk in Tabular Protection. The topics include: 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;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 tables;combinations of SDC methods for microdata protection;a fixed structure learning automaton micro-aggregation technique for secure statisticaldatabases;using the jackknife method to produce safe plots of microdata;combining blanking and noise addition as a data disclosure limitation method;adjusting survey weights when altering identifying design variables via synthetic data;risk, utility and PRAM;distance based re-identification for time series, analysis of distances;a decision theoretic framework for assessing privacy risk;using mahalanobis distance-based record linkage for disclosure risk assessment;improving individual risk estimators;single-database private information retrieval schemes;privacy-preserving data set union;measuring the impact of data protection techniques on data utility;protecting the confidentiality of survey tabular data by adding noise to the underlying microdata;the ARGUS software in CENEX;software development for SDC in R and balancing the privacy-quality tradeoff by means of restricted access extracts.
Noise addition is a family of methods used in the protection of the privacy of individual data (microdata) in statisticaldatabases. This paper is a critical analysis of the security of the methods in that family.
ISBN:
(纸本)3540221182
Noise addition is a family of methods used in the protection of the privacy of individual data (microdata) in statisticaldatabases. This paper is a critical analysis of the security of the methods in that family.
Microaggregation is a masking procedure used for protecting confidential data prior to their public release. This technique, that relies on clustering and aggregation techniques, is solely used for numerical data. In ...
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ISBN:
(纸本)3540221182
Microaggregation is a masking procedure used for protecting confidential data prior to their public release. This technique, that relies on clustering and aggregation techniques, is solely used for numerical data. In this work we introduce a microaggregation procedure for categorical variables. We describe the new masking method and we analyse the results it obtains according to some indices found in the literature. The method is compared with Top and Bottom Coding, Global recoding, Rank Swapping and PRAM.
Microaggregation is a well-known technique for data protection. It is usually operationally defined in a two-step process: (i) a large number of small clusters are built from data and (ii) data are replaced by cluster...
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ISBN:
(纸本)3540221182
Microaggregation is a well-known technique for data protection. It is usually operationally defined in a two-step process: (i) a large number of small clusters are built from data and (ii) data are replaced by cluster aggregates. In this work we study the use of fuzzy clustering in the first step. In particular, we consider standard fuzzy c-means and entropy based fuzzy c-means. For both methods, our study includes variable-size and non-variable-size variations. The resulting masking methods are compared using standard scoring methods.
This book constitutes the refereed proceedings of the international conference on privacy in statistical databases, psd 2018, held in Valencia, Spain, in September 2018 under the sponsorship of the UNESCO Chair in Dat...
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ISBN:
(数字)9783319997711
ISBN:
(纸本)9783319997704
This book constitutes the refereed proceedings of the international conference on privacy in statistical databases, psd 2018, held in Valencia, Spain, in September 2018 under the sponsorship of the UNESCO Chair in Data privacy.
This book constitutes the refereed proceedings of the international conference on privacy in statistical databases, psd 2012, held in Palermo, Italy, in September 2012 under the sponsorship of the UNESCO chair in Data...
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ISBN:
(数字)9783642336270
ISBN:
(纸本)9783642336263
This book constitutes the refereed proceedings of the international conference on privacy in statistical databases, psd 2012, held in Palermo, Italy, in September 2012 under the sponsorship of the UNESCO chair in Data privacy.
The 27 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on tabular data protection; microdata protection: methods and disclosure risk; microdata protection: case studies; spatial data protection; differential privacy; on-line databases and remote access; privacy-preserving protocols.
This book constitutes the refereed proceedings of the international conference on privacy in statistical databases, psd 2014, held in Ibiza, Spain in September 2014 under the sponsorship of the UNESCO chair in Data Pr...
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ISBN:
(数字)9783319112572
ISBN:
(纸本)9783319112565
This book constitutes the refereed proceedings of the international conference on privacy in statistical databases, psd 2014, held in Ibiza, Spain in September 2014 under the sponsorship of the UNESCO chair in Data privacy. The 27 revised full papers presented were carefully reviewed and selected from 41 submissions. The scope of the conference is on following topics: tabular data protection, microdata masking, protection using privacy models, synthetic data, record linkage, remote access, privacy-preserving protocols, and case studies.
This book constitutes the refereed proceedings of the international conference on privacy in statistical databases, psd 2022, held in Paris, France, during September 21-23, 2022.;The 25 papers presented in this volum...
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ISBN:
(数字)9783031139451
ISBN:
(纸本)9783031139444
This book constitutes the refereed proceedings of the international conference on privacy in statistical databases, psd 2022, held in Paris, France, during September 21-23, 2022.;The 25 papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: privacy models; tabular data; disclosure risk assessment and record linkage; privacy-preserving protocols; unstructured and mobility data; synthetic data; machine learning and privacy; and case studies.
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