UNITED NATIONS STATISTICAL COMMISSION and EUROPEAN COMMISSION ECONOMIC COMMISSION FOR EUROPE STATISTICAL OFFICE OF THE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMUNITIES (EUROSTAT) Joint UN/ECE and Eurostat work session on statistical data confidentiality
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چکیده
Microdata files released at the Israel Central Bureau of Statistics currently undergo a series of ad-hoc decisions with regard to protecting the confidentiality of statistical entities. In general, there are three levels of microdata files: PUF which is released upon request to legitimate researchers after they outline the details of their research, MUC which is available to researchers in universities and approved research institutions that have a special contract with the CBS, and files available in an on-site research facility at the CBS where researchers can work and access original files (without direct identifiers) for data analysis. Because of the current lack of a systematic way of evaluating the risks of the files, mistakes are common. One example is the release of multiple PUF files for the same survey or census, each having detailed coding for different sets of variables. These files can easily be linked using common variables and the entire original file can be recovered. The fact that up till now PUF files were generally not given to the wide public, but were granted to researchers with specific requests, gave a false sense of security with regard to the level of protection needed on the PUF file.
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United Nations Statistical Commission and European Commission Economic Commission for Europe Statistical Office of the Conference of European Statisticians European Communities (eurostat) Joint Ece/eurostat Work Session on Statistical Data Confidentiality Balancing Data Quality and Confidentiality for Tabular Data Invited Paper
1. Tabular data are the earliest form and remain a staple of official statistics data products. Familiar examples of tabular data products in official statistics include count data such as age-race-sex and other demographic data, concentration (or percentage) data such in financial or energy utilization statistics, and magnitude data such as total retail sales or air pollution data. Confidentia...
متن کاملSTATISTICAL COMMISSION and COMMISSION OF THE ECONOMIC COMMISSION FOR EUROPE EUROPEAN COMMUNITIES CONFERENCE OF EUROPEAN STATISTICIANS EUROSTAT Joint ECE/Eurostat Work Session on Statistical Data Confidentiality
In this paper we consider a first attempt to deal with re-identification of individuals when the variables in the two data files to be matched are not exactly the same but "similar".
متن کاملWP.14 ENGLISH ONLY UNITED NATIONS STATISTICAL COMMISSION and ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT)
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UNITED NATIONS STATISTICAL COMMISSION and ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT) ORGANIZATION FOR ECONOMIC COOPERATION AND DEVELOPMENT (OECD) STATISTICS DIRECTORATE
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Wp.8 English Only United Nations Statistical Commission and Economic Commission for Europe Conference of European Statisticians European Commission Statistical Office of the European Communities (eurostat) Joint Unece/eurostat Work Session on Statistical Data Confidentiality Microaggregation Heuristics for P-sensitive K-anonymity
p-Sensitive k-anonymity is a sophistication of k-anonymity requiring that there be at least p different values for each confidential attribute within the records sharing a combination of key attributes. Like for k-anonymity, the computational approach originally proposed to achieve this property is based on generalization and suppression; this has several data utility problems, such as turning ...
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