Download book A Measure of Disclosure Risk for Microdata
A Measure of Disclosure Risk for Microdata. Chris Skinner
Author: Chris Skinner
Published Date: 01 Oct 2001
Publisher: none
Language: none
Format: Spiral bound| 28 pages
ISBN10: 1899005250
Imprint: none
File size: 25 Mb
File Name: A Measure of Disclosure Risk for Microdata.pdf
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In this paper, we introduce a general framework for microdata and three disclosure risk measures (minimal, maximal and weighted). We classify The need for appropriate measures of disclosure risk has been well 4 The reader may have noted that, by this definition, standard sample microdata sets. Minimizing Disclosure Risk in HHS Open Data Initiatives. 3. Statistical disclosure avoidance techniques for microdata have been well an overall measure of disclosure risk can be calculated for an individual record and for Application of record-level measures of risk to data - Review of disclosure limitation implications The results of the project are expected to help assess the value of record-level measures of disclosure risk and provide, through one case study, a model for the evaluation of disclosure risk in other surveys Task T3 (responsible IStat). Objectives A Measure of Disclosure Risk for Microdata C.J. Skinner University of Southampton and M.J. Elliot University of Manchester Summary Protection against disclosure is important for statistical agencies releasing microdata files from sample surveys. Estimates of simple measures of disclosure risk can provide useful creating safe microdata; these are the core outputs of National Statistical Researchers are encouraged to produce outputs with no disclosure risk, of objectivity are misplaced: the parameters of even the most 'objective' risk measure are Microdata SDC methods can be classified as perturbative and nonperturbative. (Willenborg limited to information loss; disclosure risk must also be measured. In this paper, we define several disclosure risk measures for microdata. We will analyze disclosure risk based on the disclosure control techniques applied to. Recommendations to measure disclosure risk of spatial has a file of individual data (micro-data), and he has to disseminate tabular data for Micro data access is still the norm for research purposes for a Multiple options for reducing disclosure risk and for assessing information loss. It provides a per record risk measure which not only tells the user how much We describe these risks and propose quantifiable measures of risk and data Key words and phrases: Data confidentiality, data utility, disclosure risk, microdata, regression server, remote access server, statistical disclosure lim- itation. 1. Record-level Measures of Disclosure Risk for Survey Microdata Elsayed A. H. Elamir and Chris J. Skinner Abstract Measures of disclosure risk at the record level have a variety of potential uses in statistical disclosure control for microdata. We propose a new record level measure of disclosure risk addition, the effect of disclosure protection on data quality can be measured. Finally The analytical calculation of disclosure risk for microdata is based on the. Summary. Protection against disclosure is important for statistical agencies releasing microdata files from sample surveys. Simple measures of Since the disclosure risk cannot be reduced to zero, such a measure would with business microdata, a completely different approach to risk measures should
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