Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
On inference control in semantic data models for statistical databases
Journal of Computer and System Sciences
Intrusion detection with neural networks
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Auditing user queries in dynamic statistical databases
Information Sciences—Informatics and Computer Science: An International Journal
ACM Transactions on Database Systems (TODS)
Cryptography and data security
Cryptography and data security
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Software systems for tabular data releases
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Model Diagnostics for Remote Access Regression Servers
Statistics and Computing
Spatial and non-spatial model-based protection procedures for the release of business microdata
Statistics and Computing
Maximum entropy simulation for microdata protection
Statistics and Computing
Model Diagnostics for Remote Access Regression Servers
Statistics and Computing
Computer Methods and Programs in Biomedicine
Verification servers: Enabling analysts to assess the quality of inferences from public use data
Computational Statistics & Data Analysis
Regression output from a remote analysis server
Data & Knowledge Engineering
Improving security by using a database management system for integrated statistical data analysis
Proceedings of the 4th International Workshop on Privacy and Anonymity in the Information Society
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Statistical Agencies manage huge amounts of microdata. The main task of these agencies is to provide a variety of users with general information about for instance the population and the economy. However, in some cases users request additional, more specific information. Many agencies have therefore set up facilities that enable selected users to obtain tailor-made statistical information.A remote access system is an example of such a facility where users can submit queries for statistical information from their own computer. These queries are handled by the statistical agency and the generated, possibly confidentialised, output is returned to the user. This way the agency still keeps control over its own data while the user does not need to make frequent visits to the agency.For some years, the Luxembourg Income Study (LIS) and Luxembourg Employment Study (LES) have made use of an advanced remote access system. At Statistics Netherlands and at other statistical institutes recently the need for a similar system has been expressed. In this article, we discuss the characteristics, limitations and desired properties of a remote access system. We illustrate the discussion by the system used at LIS/LES.