Testing variants of minimum distance controlled tabular adjustment
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/14920
Tipus de documentCapítol de llibre
Data publicació2008-07-31
EditorEurostat-Office for Official Publications of the European Communities
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Controlled tabular adjustment (CTA), and its minimum distance variants, is a recent methodology for the
protection of tabular data. Given a table to be protected, the purpose of the method is to fi nd the closest one that guarantees
the confi dentiality of the sensitive cells. This is achieved by adding slight adjustments to the remaining cells, preferably
excluding total ones, whose values are preserved. Unlike other approaches, this methodology can effi ciently protect large
tables of any number of dimensions and structure. In this work, we test some minimum distance variants of CTA on a
close-to-real data set, and analyze the quality of the solutions provided. As another alternative, we suggest a restricted
CTA (RCTA) approach, where adjustments are only allowed in a subset of cells. This subset is a priori computed, for
instance by a fast heuristic for the cell suppression problem. We discuss benefi ts of RCTA, and suggest several approaches
for its solution.
CitacióCastro, J.; Giessing, S. Testing variants of minimum distance controlled tabular adjustment. A: "Monographs of official statistics. work session on statistical data confidentiality". Eurostat-Office for Official Publications of the European Communities, 2008, p. 333-343.
ISBN92-79-01108-1
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book_geneva_SDC_Castro_Giessing.pdf | Testing variants of minimum distance controlled tabular adjustment | 797,2Kb | Visualitza/Obre |