disclosure control
Disclosure control of analytical outputs
... This is an important omission because in recent years a combination of increased computer power and changing policy regimes has led to a significant increase in access to confidential microdata for research purposes, ...
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Multiple imputation: an alternative to top coding for statistical disclosure control
... tistical disclosure control, but it creates problems for the data ...statistical disclosure control that are based on multiple ...statistical disclosure control ...
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Statistical Disclosure Control for Data Privacy Preservation
... Statistical Disclosure Control (SDC) methods are often used for protection ...Statistical Disclosure Control (SDC) attempts to have a balance between a person’s right to privacy and the right ...
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Statistical disclosure control methods for census frequency tables
... statistical disclosure control (SDC) methods implemented at Statistical Agencies for standard tabular outputs containing whole population counts from a Census (either enumerated or based on a ...a ...
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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 is to ...
7
Systematic clustering-based microaggregation for statistical disclosure control
... Abstract—Microdata protection in statistical databases has recently become a major societal concern. Microaggregation for Statistical Disclosure Control (SDC) is a family of methods to protect microdata ...
7
Geographically intelligent disclosure control for flexible aggregation of census data
... powerful disclosure control method which may provide a more efficient balance of risk and utility particularly for GIS ...a disclosure risk and reduction in accuracy of the ...of disclosure ...
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Preserving edits when perturbing microdata for statistical disclosure control
... the disclosure risk, the risk of re-identification may be increased by limiting the perturbations within narrow ranges of possible ...of disclosure risk and high utility data based on policies and protocols ...
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Challenges for statistical disclosure control in a world with big data and open data
... Traditionally, disclosure control is more focused on identity disclosure: the risk of identifying a unit in statistical output and consequently deriving sensitive information about that ...prevent ...
6
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 ...Statistical Disclosure Control (SDC) to protect microdata in cloud ...
22
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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New multi-dimensional sorting based k-anonymity microaggregation for 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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A genetic approach to statistical disclosure control
... The introduction of a surrogate fitness function has allowed the algorithm to successfully protect three- dimensional non-hierarchical statistical tables with up to 209,300 cells and three-dimensional hierarchical sta- ...
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Statistical Disclosure Control using Post Randomisation: Variants and Measures for Disclosure Risk
... This paper discusses the post randomisation method (PRAM) as a method for disclosure control. PRAM protects the privacy of respondent by misclassifying specific variables before data are released to ...
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Output based disclosure control for regressions
... 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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Statistical disclosure control in a research environment
... Statistical disclosure control (SDC) in a research environment poses particular ...from disclosure, or that microdatasets are sufficiently ...
22
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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Studies on Protecting Privacy of Anonymized Medical Data
... quantifiable control of disclosure in disseminated databases and achieving k-Anonymity privacy protection using generalization and suppression are discussed in ...Statistical Disclosure ...
5
Access control management and privacy-preserving
... In recent years, the phenomenal technological developments in information tech- nology have led to an increase in the capability to store and record personal data about customers and individuals. This has led to concerns ...
15
Developing a Blueprint for Preserving Privacy of Electronic Health Records using Categorical Attributes
... issues. Disclosure of patient data could cause serious difficulties so individual damaging for patient and ...Statiscal Disclosure Control(SDC) of patient ...
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