Bayesian assessment of rounding-based disclosure control

Forster, Jonathan J. and Gill, Roger C. (2008) Bayesian assessment of rounding-based disclosure control. In, Privacy in Statistical Databases. UNESCO Chair in Data Privacy International Conference, PSD 2008 Berlin, Germany, Springer, 50-63. (Lecture Notes in Computer Science, 5262). (doi:10.1007/978-3-540-87471-3_5).


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In this paper, we consider how the security of a disclosure control mechanism based on randomised, but uncontrolled, rounding can be assessed by Bayesian methods. We develop a methodology, based on Markov chain Monte Carlo, for estimating the conditional (posterior) probability distribution for the original cell counts given the released rounded values. An effective rounding-based disclosure control will result in high posterior uncertainty about the true value. Conversely, a posterior distribution concentrated on a single value provides evidence of ineffective disclosure control.

Item Type: Book Section
Digital Object Identifier (DOI): doi:10.1007/978-3-540-87471-3_5
ISBNs: 9783540874706 (hardback)
ISSNs: 0302-9743 (print)
Related URLs:
Subjects: Q Science > QA Mathematics
H Social Sciences > HA Statistics
Divisions : University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute
University Structure - Pre August 2011 > School of Mathematics > Statistics
ePrint ID: 66208
Accepted Date and Publication Date:
22 August 2008Published
Date Deposited: 12 May 2009
Last Modified: 31 Mar 2016 12:52

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