The extensive collection and processing of personal information in big data analytics has
given rise to serious privacy concerns, related to wide scale electronic surveillance, profiling …

The protection of identity of participants in medical research has traditionally been
guaranteed by the maintenance of the confidentiality of health information through …

This book has been developed to address a need for a practical guide to anonymisation that
gives more operational advice than the ICO'sAnonymisation Code of Practice, whilst being …

As described in Chapter 5, there is a plethora of statistical disclosure control (SDC) methods
to protect microdata. This chapter provides guidance in choosing a particular SDC method …

Protection against disclosure is important for statistical agencies releasing microdata files
from sample surveys. Simple measures of disclosure risk can provide useful evidence to …

A measure of re-identification risk at the record level has a variety of potential uses in
statistical disclosure control for microdata. The conceptual basis of such a measure is …

Objective Healthcare organizations must de-identify patient records before sharing data.
Many organizations rely on the Safe Harbor Standard of the HIPAA Privacy Rule, which …

This paper provides an overview of methods of masking microdata so that the data can be
placed in public-use files. It divides the methods according to whether they have been …

Abstract The US Census Bureau collects its survey and census data under Title 13 of the US
Code which promises confidentiality to its respondents. The agency also has the …

To support research and policymaking, there is an increasing demand for microdata.
Microdata are data that hold information collected on individual units, such as people …