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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. vol. 5262, Springer. 14 pp, pp. 50-63. (doi:10.1007/978-3-540-87471-3_5).

Record type: Conference or Workshop Item (Paper)


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.

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Published date: 22 August 2008
Venue - Dates: UNESCO Chair in Data Privacy International Conference, PSD 2008, 2008-09-24 - 2008-09-26
Organisations: Statistics


Local EPrints ID: 66208
ISBN: 9783540874706
ISSN: 0302-9743
PURE UUID: e36170b4-7f00-4dad-b38d-ed353d7de4c1

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Date deposited: 12 May 2009
Last modified: 19 Jul 2017 00:26

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