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|
|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
|Date Deposited:||12 May 2009|
|Last Modified:||02 Mar 2012 11:52|
|Contributors:||Forster, Jonathan J. (Author)
Gill, Roger C. (Author)
|Date:||22 August 2008|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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