Harmonizing table protection: Results of a study

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4302, Issue , 2006, Pages 35-47

  Giessing, Sarah ^a   Dittrich, Stefan ^a  

^a Federal Statistical Office of Germany   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

CELL SUPPRESSION; DISTRIBUTED SYSTEMS; OFFICIAL STATISTICS; PERTURBATIVE METHOD; SECONDARY CELLS; STATISTICAL SYSTEMS;

STATISTICS;

EID: 84958970048     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11930242_4     Document Type: Conference Paper

References (12)

1. Castro, J. (2003), ‘Minimum-Distance Controlled Perturbation Methods for Large-Scale Tabular Data Protection’, accepted subject to revision to European Journal of Operational Research, 2003
2. Castro, J., Giessing S. (2006). Testing variants of minimum distance controlled tabular adjustment, in Monographs of Official Statistics. Work session on Statistical Data Confidentiality, Eurostat-Office for Official Publications of the European Communities, Luxembourg, 2006, pp. 333-343
3. Cox, L., Dandekar, R.H., (2002), ‘Synthetic Tabular Data – an Alternative to Complementary Cell Suppression, unpublished manuscript
4. De Wolf, P.P. (2002), ‘HiTaS: A Heustic Approach to Cell Suppression in Hierarchical Tables’, In: ‘Inference Control in Statistical Databases’ Domingo-Ferrer (Ed.), Springer (Lecture notes in computer science; Vol. 2316)
5. Fischetti, M, Salazar Gonzales, J.J. (2000), ‘Models and Algorithms for Optimizing Cell Suppression in Tabular Data with Linear Constraints’, in Journal of the American Statistical Association, Vol. 95, pp 916
6. Giessing, S., Repsilber, D. (2002), ‘Tools and Strategies to Protect Multiple Tables with the GHQUAR Cell Suppression Engine’, In: ‘Inference Control in Statistical Databases’ Domingo-Ferrer (Ed.), Springer (Lecture notes in computer science; Vol. 2316)
7. Giessing, S. (2003), ‘Co-ordination of Cell Suppressions: strategies for use of GHMITER’, paper presented at the Joint ECE/Eurostat Worksession on Statistical Confidentiality in Luxembourg, 7.-10. April 2003
8. Giessing, S.(2004), Survey on methods for tabular protection in ARGUS, Lecture Notes in Computer Science. Privacy in statistical databases 3050, 1-13. Volume Privacy in statistical databases, J. Domingo-Ferrer and V. Torra, Springer, Berlin.
9. Giessing, S., Dittrich, S., Gehrling, D., Krüger, A., Merz, F.J., Wirtz, H. (2006)‚ Bericht der Arbeitsgruppe „Geheimhaltungskonzept des statistischen Verbundes, Pilotanwendung: Umsatzsteuerstatistik“’, document for the meeting of the „Ausschuss für Organisation und Umsetzung“, Mai 2006, in German
10. Hundepool, A., van de Wetering, A., Ramaswamy, R., de Wolf, P.P., Giessing, S., Fischetti, M., Salazar, J.J., Castro, J., Lowthian, P. (2006), τ-ARGUS users's manual, version 3.1.
11. Repsilber, D. (2002), ‘Sicherung persönlicher Angaben in Tabellendaten’ - in Statistische Analysen und Studien Nordrhein-Westfalen, Landesamt für Datenverarbeitung und Statistik NRW, Ausgabe 1/2002 (in German)
12. Salazar, J.J. (2003) "Partial Cell Suppression: a New Methodology for Statistical Disclosure Control", Statistics and Computing, 13, 13-21