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Publication of synthetic – i.e., simulated – data is an alternative to masking for statistical disclosure control of microdata. The idea is to randomly generate data with the constraint that certain statistics or internal relationships of the original dataset should be preserved.
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The operation of the original proposal by Rubin [2] is next outlined. Consider an original microdata set X of size n records drawn from a much larger population of N individuals, where there are background attributes A, non-confidential attributes B and confidential attributes C. Background attributes are observed and available for all N individuals in the population, whereas B and C are only available for the n records in the sample X. The first step is to construct from X a multiply-imputed population of N individuals. This population consists of the n records in X and M(the number of multiple imputations, typically between 3...
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Hundepool A., Domingo-Ferrer J., Franconi L., Giessing S., Lenz R., Longhurst J., Nordholt E.S., Seri G., and De Wolf P.-P. Handbook on Statistical Disclosure Control. CENEX SDC Project, November 2006 (manuscript version 1.0). http://neon.vb.cbs.nl/CENEX/.
Rubin D.B. Discussion of statistical disclosure limitation. J. Off. Stat., 9(2):461–468, 1993.
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© 2009 Springer Science+Business Media, LLC
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Domingo-Ferrer, J. (2009). Synthetic Microdata. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_1501
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DOI: https://doi.org/10.1007/978-0-387-39940-9_1501
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-35544-3
Online ISBN: 978-0-387-39940-9
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