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Releasing microdata: disclosure risk estimation, data masking and assessing utility

Record type: Monograph (Working Paper)

Statistical Agencies need to make informed decisions when releasing sample microdata from social surveys with respect to the level of protection required in the data and the mode of access. These decisions should be based on objective quantitative measures of disclosure risk and data utility. This paper reviews recent developments in disclosure risk assessment and discusses how these can be integrated with established methods of data masking and utility assessment for releasing microdata. We illustrate the Disclosure risk-Data Utility approach based on samples drawn from a Census where the population is known and can be used to investigate sample-based methods and validate results.

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Citation

Shlomo, Natalie (2009) Releasing microdata: disclosure risk estimation, data masking and assessing utility , Southampton, UK Southampton Statistical Sciences Research Institute 15pp. (S3RI Methodology Working Papers, M09/02).

More information

Published date: 11 February 2009
Keywords: log-linear models, measurement error, additive noise, micro-aggregation, random rounding, pram, information loss

Identifiers

Local EPrints ID: 65423
URI: http://eprints.soton.ac.uk/id/eprint/65423
PURE UUID: dd1a03d7-4bbe-41cb-9c15-3a364d40244a

Catalogue record

Date deposited: 12 Feb 2009
Last modified: 19 Jul 2017 00:34

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