Abstract
This paper examines two methods of record-level disclosure risk assessment for microdata. The first uses an extension of the Special Uniques Identification method [7] combined with data mining techniques and the second uses Data Intrusion Simulation methodology [4],[14] at the record level. Some numerical studies are presented showing the value of these two methods and proposals for integrating them with file level measures in risk driven file construction system are presented.
The work described in this paper was supported by the UK Economic and Social Research Council, grant number R000 22 2852.
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© 2002 Springer-Verlag Berlin Heidelberg
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Elliot, M. (2002). Integrating File and Record Level Disclosure Risk Assessment. In: Domingo-Ferrer, J. (eds) Inference Control in Statistical Databases. Lecture Notes in Computer Science, vol 2316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47804-3_10
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DOI: https://doi.org/10.1007/3-540-47804-3_10
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