Information-theoretic disclosure risk measures in statistical disclosure control of tabular data
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TL;DR
This paper shows how to use information-theoretic concepts to measure disclosure risk for tabular data and shows that the proposed disclosure risk measure is compatible with a broad class of disclosure protection methods and can be extended for computing disclosurerisk for a set of linked tables.
Abstract
Statistical database protection is a part of information security which tries to prevent published statistical information (tables, individual records) from disclosing the contribution of specific respondents. This paper shows how to use information-theoretic concepts to measure disclosure risk for tabular data. The proposed disclosure risk measure is compatible with a broad class of disclosure protection methods and can be extended for computing disclosure risk for a set of linked tables.