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Testing variants of minimum distance controlled tabular adjustment
Castro Pérez, Jordi; Giessing, Sarah
Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
Controlled tabular adjustment (CTA), and its minimum distance variants, is a recent methodology for theprotection of tabular data. Given a table to be protected, the purpose of the method is to fi nd the closest one that guaranteesthe confi dentiality of the sensitive cells. This is achieved by adding slight adjustments to the remaining cells, preferablyexcluding total ones, whose values are preserved. Unlike other approaches, this methodology can effi ciently protect largetables of any number of dimensions and structure. In this work, we test some minimum distance variants of CTA on aclose-to-real data set, and analyze the quality of the solutions provided. As another alternative, we suggest a restrictedCTA (RCTA) approach, where adjustments are only allowed in a subset of cells. This subset is a priori computed, forinstance by a fast heuristic for the cell suppression problem. We discuss benefi ts of RCTA, and suggest several approachesfor its solution.
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada
Mathematical statistics
Estadística matemàtica
Classificació AMS::62 Statistics
Open Access
Book Part
Eurostat-Office for Official Publications of the European Communities

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