The Internet provides an efficient mechanism for Federal agencies to distribute their data to the public. However, it is imperative that such data servers have built-in mechanisms to ensure that confidentiality of the data, and the privacy of individuals or establishments represented in the data, are not violated. We describe a prototype dissemination system developed for the National Agricultural Statistics Service that uses aggregation of adjacent geographical units as a confidentiality-preserving technique. We also outline a Bayesian approach to statistical analysis of the aggregated data.
CITATION STYLE
Karr, A. F., Lee, J., Sanil, A. P., Hernandez, J., Karimi, S., & Litwin, K. (2002). Web-Based Systems that Disseminate Information from Databases but Protect Confidentiality (pp. 181–196). https://doi.org/10.1007/0-306-47374-7_11
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