Releasing Microdata: Disclosure Risk Estimation, Data Masking and Assessing Utility | Zendy

Natalie Shlomo | Zendy

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Releasing Microdata: Disclosure Risk Estimation, Data Masking and Assessing Utility

Author(s) -

Natalie Shlomo

Publication year - 2010

Publication title -

journal of privacy and confidentiality

Language(s) - English

Resource type - Journals

ISSN - 2575-8527

DOI - 10.29012/jpc.v2i1.584

Subject(s) - microdata (statistics) , computer science , masking (illustration) , sample (material) , risk assessment , data quality , population , actuarial science , confidentiality , census , data science , econometrics , risk analysis (engineering) , business , computer security , environmental health , medicine , economics , marketing , art , metric (unit) , chemistry , chromatography , visual arts

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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