statistical disclosure control
Multiple imputation: an alternative to top coding for statistical disclosure control
... Statistical disclosure control (SDC) is a class of procedures that deliberately alter data that are collected by statistical agencies before release to the public, to prevent the identity of ...
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New multi-dimensional sorting based k-anonymity microaggregation for statistical disclosure control
... in statistical databases has re- cently become a major societal concern and has been intensively studied in recent ...for Statistical Disclosure Control (SDC) is a family of methods to protect ...
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Preserving edits when perturbing microdata for statistical disclosure control
... of statistical disclosure control (SDC) is to prevent sensitive information about individual respondents from being ...by Statistical Agencies. The information released by Statistical ...
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Challenges for statistical disclosure control in a world with big data and open data
... National statistical institutes (NSIs) produce tables and microdata files; these data are typically checked for unwanted disclosure of data of individual persons and ...for statistical ...
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Microaggregation sorting framework for k-anonymity statistical disclosure control in cloud computing
... no/little control that has led to concern that the personal data may be ...for Statistical Disclosure Control (SDC) to protect microdata in cloud ...
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Statistical disclosure control methods for census frequency tables
... common statistical disclosure control (SDC) methods implemented at Statistical Agencies for standard tabular outputs containing whole population counts from a Census (either enumerated or ...
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Systematic clustering-based microaggregation for statistical disclosure control
... in statistical databases has recently become a major societal ...for Statistical Disclosure Control (SDC) is a family of methods to protect microdata from individual ...
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Novel iterative min-max clustering to minimize information loss in statistical disclosure control
... Abstract. In recent years, there has been an alarming increase of online identity theft and attacks using personally identifiable information. The goal of privacy preservation is to de-associate individuals from sensitive ...
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K−means clustering microaggregation for statistical disclosure control
... Microaggregation is a family of Statistical Disclosure Control (SDC) methods for protecting microdata sets that have been extensively studied recently [1, 2, 7, 9]. The basic idea of microaggregation ...
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Statistical Disclosure Control for Data Privacy Preservation
... identification, Statistical Disclosure Control (SDC) methods are often used for protection ...The Statistical Disclosure Control (SDC) attempts to have a balance between a ...
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A genetic approach to statistical disclosure control
... non-hierarchical statistical tables with up to 209,300 cells and three-dimensional hierarchical sta- tistical tables with up to 142,200 cells using the CLP mathematical solver from the open source COIN-OR ...in ...
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Statistical disclosure control in a research environment
... Statistical disclosure control (SDC) in a research environment poses particular ...from disclosure, or that microdatasets are sufficiently ...
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Pre processing optimisation applied to the classical integer programming model for statistical disclosure control
... The external attacker wishes to deduce the values of cells that have been sup- pressed in a published statistical table, in order to glean confidential information. The assumption made in the literature is that ...
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Principles versus rules based output statistical disclosure control in remote access environments
... back statistical results; for some data this is the most appropriate model, but for many types of data the dominant model is the remote research data centre (RRDC), where researchers access data through ‘thin ...
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Statistical Disclosure Control using Post Randomisation: Variants and Measures for Disclosure Risk
... Statistics Netherlands releases data in several ways. One way is the releasing of detailed survey data under contract, i.e., data are released to bona fide research institutes that sign an agreement in which they promise ...
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ARGUS: SOFTWARE FOR STATISTICAL DISCLOSURE CONTROL OF MICRODATA 1
... According to the rules we must inspect a large set of tables (univariate, bivariate and trivariate cross-tabulations) to find unsafe combinations. Unsafe will mean that this combination is ‘rare’ in the population and ...
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Systematic clustering-based microaggregation for statistical disclosure control
... NSS has been a premier conference that has brought together researchers and practitioners from academia, industry, and governments around the world to advance the theories and technologies of network and system security, ...
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Output based disclosure control for regressions
... ‘output-based’ statistical disclosure control (SDC) contrasts with the more traditional input- based SDC where the data set was redacted or perturbed before distribution to prevent disclosure ...
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Protection of micro data subject to edit constraints against statistical disclosure
... of statistical disclosure control (SDC) is to prevent sensitive information about individual respondents from being ...by Statistical Agencies. The information released by Statistical ...
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A Statistical Process Control to Monitor the Software Quality
... process control is one of the best approach that is used to determine whether a process is in control or out of ...in control, variation in the quality characteristics of the end-item must be ...
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