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Bayesian assessment of rounding-based disclosure control

Bayesian assessment of rounding-based disclosure control
Bayesian assessment of rounding-based disclosure control
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.
9783540874706
0302-9743
50-63
Springer
Forster, Jonathan J.
e3c534ad-fa69-42f5-b67b-11617bc84879
Gill, Roger C.
584a7017-377f-4650-93b0-ab8361e98495
Forster, Jonathan J.
e3c534ad-fa69-42f5-b67b-11617bc84879
Gill, Roger C.
584a7017-377f-4650-93b0-ab8361e98495

Forster, Jonathan J. and Gill, Roger C. (2008) Bayesian assessment of rounding-based disclosure control. In Privacy in Statistical Databases. vol. 5262, Springer. pp. 50-63 . (doi:10.1007/978-3-540-87471-3_5).

Record type: Conference or Workshop Item (Paper)

Abstract

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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More information

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

Identifiers

Local EPrints ID: 66208
URI: http://eprints.soton.ac.uk/id/eprint/66208
ISBN: 9783540874706
ISSN: 0302-9743
PURE UUID: e36170b4-7f00-4dad-b38d-ed353d7de4c1
ORCID for Jonathan J. Forster: ORCID iD orcid.org/0000-0002-7867-3411

Catalogue record

Date deposited: 12 May 2009
Last modified: 14 Mar 2024 02:37

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Contributors

Author: Jonathan J. Forster ORCID iD
Author: Roger C. Gill

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