Basic Concepts

Matthias Templ ()
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Matthias Templ: Zurich University of Applied Sciences (ZHAW), Institute of Data Analysis and Process Design (IDP), School of Engineering (SoE)

Chapter Chapter 2 in Statistical Disclosure Control for Microdata, 2017, pp 35-48 from Springer

Abstract: Abstract This section introduces the basic concepts related to statistical disclosure. It presents definitions for certain groups of variables such as sensitive variables or key variables. They are crucial for any other chapter, since SDC methods differ depending on the variables chosen. In addition, basic intruder scenarios are described such as identity, attribute and inferential disclosure. The chapter ends with a discussion about the trade-off between disclosure risk and information loss. The more the disclosure risk is reduced the higher the information loss and the lower the data utility. The concept of risk-utility maps that reports this trade-off is explained based on real data.

Keywords: Information Loss; Data Utility; Sensitive Variable; Data Provider; Remote Access (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-50272-4_2

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DOI: 10.1007/978-3-319-50272-4_2

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