Recent advances in optimization techniques for statistical tabular data protection

Recent advances in optimization techniques for statistical tabular data protection

One of the main services of National Statistical Agencies (NSAs) for the current Information Society is the dissemination of large amounts of tabular data, which is obtained from microdata by crossing one or more categorical variables. NSAs must guarantee that no confidential individual information can be obtained from the released tabular data. Several statistical disclosure control methods ar...

Software for tabular data protection.

In order for national statistical offices to maintain the trust of the public to collect data and publish statistics of importance to society and decision-making, it is imperative that respondents (persons or establishments) be guaranteed privacy and confidentiality in return for providing requested confidential data. Consequently, for most survey and census data, disclosure limitation techniqu...

Tabular Statistical Disclosure Control: Optimization Techniques in Suppression and Controlled Tabular Adjustment1

The problem of disseminating tabular data such that the amount of information provided satisfies the public need while protecting individually identifiable data is a problem in all governmental statistical agencies. The problem falls into the category of Statistical Disclosure Control and provides many difficult policy and technical challenges for these agencies. In order to achieve the double ...

STATISTICAL DATA PROTECTION TECHNIQUES Marta

Statistical disclosure control in tabular data

Data disseminated by National Statistical Agencies (NSAs) can be classified as either microdata or tabular data. Tabular data is obtained from microdata by crossing one or more categorical variables. Although cell tables provide aggregated information, they also need to be protected. This chapter is a short introduction to tabular data protection. It contains three main sections. The first one ...