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IMPROVING CONFIDENTIALITY WITH tau-ARGUS BY FOCUSSING ON CLEVER USAGE OF MICRODATA. Roland van der Meijden MSc. ± 10 minutes. Content of presentation. tau-Argus Tuning possibilities Hierarchies Historyfile, information loss and base material Conclusions. Tau-Argus.
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IMPROVING CONFIDENTIALITY WITH tau-ARGUS BY FOCUSSING ON CLEVER USAGE OF MICRODATA Roland van der Meijden MSc. ± 10 minutes
Content of presentation • tau-Argus • Tuning possibilities • Hierarchies • Historyfile, information loss and base material • Conclusions
Tau-Argus • Automated cell suppression software • Calculates confidentiality effects on all dimensions of a table simultaneously • Offers 4 confidentiality rules: • (n,k)-rule / dominance rule • p%-rule • p-q-rule / prior-posterior-rule • Minimum frequency rule
Tuning possibilities • Hierarchies: The way hierarchies are built is of influence on how secondary suppressions are applied. • History file: A preference can be given for which cells may or must be secondarily confidential. • Information loss weights: Information will be lost when applying secondary suppressions. The way tau-Argus calculates this information loss can be adjusted. • Base material: The way the microdata and preferred output are composed is of influence on the way secondary suppressions are applied.
Historyfile, information loss and base material (1) • Historyfile • Confidential, publishable, preferably do (not) suppress secondarily • Information loss • Cell value, frequency, equal and distance • Base material • Small area estimation, deliberately adjusting microdata and coordination of publication obligations
Conclusions • tau-Argus is a tool that is helpful in calculating confidentiality effects. • The confidentiality pattern can be influenced. • Improving the confidentiality pattern, takes a lot of effort. • Both tooling and the way base material is used are of influence on the confidentiality pattern.