Statistical Disclosure Control. The problem for a statistical
Statistical disclosure control in a research environment
... Abstract Statistical disclosure control (SDC) in a research environment poses particular ...from disclosure, or that microdatasets are sufficiently ...
22
A genetic approach to statistical disclosure control
... to Statistical Disclosure Control ...Abstract—Statistical Disclosure Control is the collective name for a range of tools used by data providers such as government departments to ...
19
Survey of Statistical Disclosure Control Technique
... a Statistical Disclosure Control (SDC) technique that aims at protecting the privacy of individual respondents before their data are released ...aggregation problem, GA can hardly cope with ...
6
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 ...
6
Statistical disclosure control: an interdisciplinary approach to the problem of balancing privacy risks and data utility
... Post-Randomisation Method (PRAM). A simpler method for illustration purposes is used here. For this example, 10% of the records were selected at random and their geographical variables are randomly misclassified using ...
204
The Coupon Collector Problem in Statistical Quality Control
... collector problem to the case of group drawings with indistinguishable ...a statistical quality control problem that arises in a dairy's bottle filling process with s ...
5
K−means clustering microaggregation for statistical disclosure control
... for Statistical Disclosure Control Md Enamul Kabir, Abdun Naser Mahmood and Abdul K Mustafa Abstract This paper presents a K-means clustering technique that satisfies the bi- objective function to ...
7
Statistical disclosure control methods for census frequency tables
... Introduction Disclosure risk occurs when there is a high probability that an intruder can re- identify an individual in released statistical outputs and confidential information may be ...against ...
40
Statistical Disclosure Control from a users point of view
... the statistical office remains responsible for the protection of the privacy of the citizens and enterprises in the ...well-known problem: there is a considerable growth in the demand for statistical ...
12
Preserving edits when perturbing microdata for statistical disclosure control
... method, Statistical disclosure control, Disclosure risk, Information loss, Post-editing, Imputation, Microdata ...of statistical disclosure control (SDC) is to prevent ...
28
Multiple imputation: an alternative to top coding for statistical disclosure control
... Confidentiality; Disclosure protection; Multiple imputation 1. Introduction Statistical disclosure control (SDC) is a class of procedures that deliberately alter data that are collected by ...
18
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 ...
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 ...for Statistical Disclosure Control (SDC) to protect microdata in cloud ...
22
Statistical Evidence and the Problem of Robust Litigation
... robustness problem as something the legal system ought to help solve, three remedies come to mind and all have some bearing on ...the statistical details of evidence, which voids the function of the jury as ...
46
An inverse problem statistical methodology summary
... general nonlinear ordinary differential equation mathematical model to discuss concepts and ideas, the discussions are also applicable to partial differential equation models and other deterministic dynamical systems. As ...
56
Partial identification in the statistical matching problem
... ). Statistical matching can be challenging when standard parametric families are inappropriate models for the ...for statistical matching ...the statistical matching problem ( Ding and Song, ...
12
Novel iterative min-max clustering to minimize information loss in statistical disclosure control
... Microaggregation works by partitioning the microdata into groups of at least k records and then replacing the records in each group with the centroid of the group. An optimal microaggregation method must min- imize the ...
16
New multi-dimensional sorting based k-anonymity microaggregation for statistical disclosure control
... Microaggregation works by partitioning the microdata into groups of at least k records and then replacing the records in each group with the centroid of the group. An optimal microaggregation method must min- imize the ...
17
Pre processing optimisation applied to the classical integer programming model for statistical disclosure control
... words: Statistical Disclosure Control, Cell Suppression Problem, Classical Model, Pre-processing Optimisation, External ...Many statistical tables are published with some of the table ...
14
Post Randomisation for Statistical Disclosure Control:
... Another important problem is the existence of dependencies between variables in the original microdata ®le. The variables in the original data ®le satisfy all kinds of edit rules. If PRAM is applied to different ...
16