Abstract
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.
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© 2002 Kluwer Academic Publishers
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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. In: McIver, W.J., Elmagarmid, A.K. (eds) Advances in Digital Government. Advances in Database Systems, vol 26. Springer, Boston, MA. https://doi.org/10.1007/0-306-47374-7_11
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DOI: https://doi.org/10.1007/0-306-47374-7_11
Publisher Name: Springer, Boston, MA
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