Assessing the disclosure risk of CTA-like methods
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Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/22739
Tipus de documentText en actes de congrés
Data publicació2013
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Minimum distance controlled tabular adjustment (CTA) is a recent perturbative approach for statistical disclosure control in tabular data. CTA looks for the closest
safe table, using some particular distance. In this talk we provide empirical results to assess the disclosure risk of the method. A set of 33 instances from the literature and
four different attacker scenarios are considered. The result
s show that, unless the attacker has good information about the original table, CTA has low disclosure risk. This talk summarizes results reported in the paper “Castro, J. (2013). On assessing the disclosure risk of controlled adjustment methods for statistical tabular data, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20, 921–941.
CitacióCastro, J. Assessing the disclosure risk of CTA-like methods. A: Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality. "Work session on statistical data confidentiality". Ottawa: 2013, p. 1-10.
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unece_ottawa_2013_jc.pdf | 119,4Kb | Visualitza/Obre |