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Implementing Multiple Evaluation Techniques in Statistical Disclosure Control for Tabular Data

Keywords: disclosure risk, sensitivity rules, cell suppression, concentration rules, optimization

Statistical agencies that disseminate their data to the public often require the implementation of Statistical Disclosure Control (SDC) to protect their data. For tabular data, the procedures include identifying sensitive cells and applying SDC techniques to protect the table. Several methods exist for both identifying sensitive cells and protecting the table cells and agencies may implement different methods depending on each situation and need. This paper will identify each of these methods and present techniques that can be used in evaluating protected tables prior to publishing them.