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).


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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: Conference or Workshop Item (Paper)
Digital Object Identifier (DOI): doi:10.1007/978-3-540-87471-3_5
ISBNs: 9783540874706 (print)
ISSNs: 0302-9743 (print)
Venue - Dates: UNESCO Chair in Data Privacy International Conference, PSD 2008, 2008-09-24 - 2008-09-26
Related URLs:
Organisations: Statistics
ePrint ID: 66208
Date :
Date Event
22 August 2008Published
Date Deposited: 12 May 2009
Last Modified: 18 Apr 2017 21:42
Further Information:Google Scholar

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