Partial cell suppression: A new methodology for statistical disclosure control
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Partial cell suppression: A new methodology for statistical disclosure control
In this paper we address the problem of protecting confidentiality in statistical tables containing sensitive information that cannot be disseminated. This is an issue of primary importance in practice. Cell Suppression is a widely-used technique for avoiding disclosure of sensitive information, which consists in suppressing all sensitive table entries along with a certain number of other entri...
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Interval protection or partial cell suppression was introduced in “M. Fischetti, J.-J. Salazar, Partial cell suppression: A new methodology for statistical disclosure control, Statistics and Computing, 13, 13– 21, 2003” as a “linearization” of the difficult cell suppression problem. Interval protection replaces some cells by intervals containing the original cell value, unlike in cell suppressi...
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This paper concerns statistical disclosure control methods to minimize information loss while keeping small the disclosure risk from different data snoopers. This issue is of primary importance in practice for statistical agencies when publishing data. It is assumed that the sensitive data have been identified by practitioners in the statistical offices, and the paper addresses the secondary pr...
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This paper concerns the problem of protecting sensitive information in tabular data against different intruders. Statistical offices allow different schemes to solve this problem. One of them is the so-called cell suppression methodology, where some cell values can be suppressed. We present four mathematical models for the problem of finding a cell suppression pattern minimizing the loss of inf...
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