Table servers protect confidentiality in tabular data releases

Communications of the ACM

Volumn 46, Issue 1, 2003, Pages 57-58

  Karr, Alan F ^a   Dobra, Adrian ^a   Sanil, Ashish P ^a  

^a NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RISK CRITERION; TABLE SERVERS; TABULAR DATA RELEASES;

ALGORITHMS; DECISION THEORY; GRAPHIC METHODS; HTML; INFORMATION TECHNOLOGY; INTEGER PROGRAMMING; JAVA PROGRAMMING LANGUAGE; METADATA; POPULATION STATISTICS; RISK ASSESSMENT; SERVERS; STATISTICAL METHODS; XML;

GOVERNMENT DATA PROCESSING;

EID: 0346832649     PISSN: 00010782     EISSN: None     Source Type: Journal    
DOI: 10.1145/602421.602451     Document Type: Review

References (5)

1. Buzzigoli, L. and Giusti, A. An algorithm to calculate the lower and upper bounds of the elements of an array given its marginals. In Proceeding of the Conference on Statistical Data Protection, (Luxembourg, Germany, 1999) Eurostat, 131-147.
2. Dobra, A. and Fienberg, S.E. Bounds for cell entries in contingency tables given marginal totals and decomposable graphs. In Proceedings of the National Academy of Sciences 97, 22 (2000) 11885-11892.
3. Duncan, G.T., Keller-McNulty, S.A., and Stokes, S.L. Disclosure risk vs. data utility: The R-U confidentiality map. Management Science.
4. Lauritzen, S.L. Graphical Models. Clarendon Press, Oxford, UK, 1996.
5. Trottini, M. A decision-theoretic approach to data disclosure problems. In 2nd Joint ECE/Eurostat Work Session on Statistical Data Confidentiality, (Luxembourg, Germany, 2001). Eurostat.