Tools and strategies to protect multiple tables with the GHQUAR cell suppression engine

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

Volumn 2316, Issue , 2002, Pages 181-192

  Giessing, Sarah ^a   Repsilber, Dietz ^b  

^a Federal Statistical Office of Germany   (Germany)

^b Landesamt für Datenverarbeitung und Statistik Nordrhein Westfalen LDS NRW   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

CELL SUPPRESSION; LINKED TABLES; USER DEMANDS;

GRAPHICAL USER INTERFACES;

EID: 84949442897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47804-3_15     Document Type: Conference Paper

References (11)

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7. Giessing, S. (2001), ‘Nonperturbative Disclosure Control Methods for Tabular Data’, In: ‘Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agencies’ Doyle, Lane, Theeuwes, Zayatz (Eds), North-Holland
8. Hundepool, A. (2001), ‘The CASC project’, paper presented at the Joint ECE/Eurostat Worksession on Statistical Confidentiality in Skopie (The former Yugoslav Republic of Macedonia), 14-16 March 2001
9. Repsilber, R. D. (1994), ‘Preservation of Confidentiality in Aggregated Data’, paper presented at the Second International Seminar on Statistical Confidentiality, Luxemburg, 1994
10. Repsilber, D. (1999), ‘Das Quaderverfahren’-in Forum der Bundesstatistik, Band 31/1999: Methoden zur Sicherung der Statistischen Geheimhaltung, (in German)
11. Repsilber, D. (2000), ‘Wahrung der Geheimhaltung sensibler Daten in mehrdimensionalen Tabellen mit dem Quaderverfahren’-in Statistische Analysen und Studien Nordrhein-Westfalen, Landesamt für Datenverarbeitung und Statistik NRW, Ausgabe 3/2000 (in German)