Statistical Disclosure Control for Data Privacy Preservation

Statistical Disclosure Control for Data Privacy Preservation

With the phenomenal change in a way data are collected, stored and disseminated among various data analyst there is an urgent need of protecting the privacy of data. As when individual data get disseminated among various users, there is a high risk of revelation of sensitive data related to any individual, which may violate various legal and ethical issues. Statistical Disclosure Control (SDC) ...

Statistical Disclosure Control for Survey Data

Statistical disclosure control refers to the methodology used in the design of the statistical outputs from a survey for protecting the confidentiality of respondents’ answers. The threat to confidentiality is assumed to come from a hypothetical intruder who has access to these outputs and seeks to use them to disclose information about a survey respondent. One key concern relates to identity d...

Distributed Privacy-Preserving Methods for Statistical Disclosure Control

Source Data Perturbation in Statistical Disclosure Control

When tables of quantitative data are generated from a datafile, the release of those tables should not reveal information concerning individual respondents. This disclosure of individual respondents in the microdata file can be prevented by applying disclosure control methods at the table level, but this may create inconsistencies across tables. Alternatively, disclosure control methods can be ...

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 ...