Data Structures for Range Searching
ACM Computing Surveys (CSUR)
Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
New paradigm of inference control with trusted computing
Proceedings of the 21st annual IFIP WG 11.3 working conference on Data and applications security
Suppressing microdata to prevent classification based inference
The VLDB Journal — The International Journal on Very Large Data Bases
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A Statistical Agency must balance the competing requirements of preserving the confidentiality of the data obtained from respondents and of publishing statistical summaries of the data obtained from respondents. This note will describe the components of an experimental suite of software which seeks to resolve this conflict in the case of economic censuses. The components described will be those which identify sensitive statistics, determine complementary suppressions and audit the suppressed publications. These components are supported by an infrastructure of utility programmes. Experience with the software on various economic censuses and opportunities for further work will be discussed.