Assessing disclosure risk for record linkage


Skinner, Chris (2008) Assessing disclosure risk for record linkage. In, Domingo-Ferrer, Josep and Saygin, Yücel (eds.) Privacy in Statistical Databases. UNESCO Chair in Data Privacy International Conference Berlin, Germany, Springer, 166-176. (Lecture Notes in Computer Science 5262/2008). (doi:10.1007/978-3-540-87471-3_14).

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Description/Abstract

An intruder seeks to match a microdata file to an external file using a record linkage technique. The identification risk is defined as the probability that a match is correct. The nature of this probability and its estimation is explored. Some connections are made to the literature on disclosure risk based on the notion of population uniqueness.

Item Type: Book Section
ISBNs: 9783540874706 (paperback)
Related URLs:
Keywords: identification, log-linear model, match, misclassification, uniqueness
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
Divisions: University Structure - Pre August 2011 > School of Social Sciences > Social Statistics
ePrint ID: 63423
Date Deposited: 24 Oct 2008
Last Modified: 27 Mar 2014 18:45
Publisher: Springer
URI: http://eprints.soton.ac.uk/id/eprint/63423

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