Combining complete and partial cell suppression methodologies in statistical disclosure control

Article type: Research Article

Authors: Fischetti, Matteo^{b; 1} | Salazar-González, Juan-José^a

Affiliations: [a] Universidad de la Laguna, DEIOC -- Matemáticas, 38271 La Laguna, Tenerife, Spain. Tel.: +34 922 31 81 84; Fax: +34 922 31 81 70; E-mail: jjsalaza@ull.es | [b] University of Padova, Italy

Note: [1] This work was partially supported by the European Project IST-2000-25069. The first author was supported by M.U.R.S.T. and by C.N.R., Italy, while the second author was supported by “Ministerio de Edución, Cultura y Deporte” and by “Gobierno de Canaicas”, Sprin.

Abstract: This paper combines the well-known Cell Suppression Methodology (herein called complete cell suppression) and a recently developed method (called partial cell suppression) presented in Fischetti and Salazar [1]. It proposes a unified new methodology with the best features of both and without some disadvantages of the single ones. Hence, this paper presents a new and more powerful cell suppression technique to protect sensitive cells in all kinds of tables. A background on Mathematical Programming guarantees the exact protection of the output against an external intruder while the loss of information is minimised.

DOI: 10.3233/SJU-2001-18410

Journal: Statistical Journal of the United Nations Economic Commission for Europe, vol. 18, no. 4, pp. 355-361, 2001