Definition
Statistical disclosure control (SDC) methods for microdata can be ranked based on information loss, disclosure risk or a combination of both. An SDC score is a combination of information loss and disclosure risk measures used to rank methods.
Key Points
The construction of an SDC score combining information loss and disclosure risk was first proposed in [1, 2]. For each method M and parameterization P, the following score is computed:
where IL is an information loss measure, DR is a disclosure risk measure and V′ is the protected dataset obtained after applying method M with parameterization P to an original dataset V.
In the above references, IL and DRwere computed using a weighted combination of several information loss and disclosure risk measures. With the resulting score, a ranking of a set of masking methods...
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Domingo-Ferrer J, Mateo-Sanz JM, Torra V. Comparing SDC methods for microdata on the basis of information loss and disclosure risk. In: Proceedings of the Joint Conferences on New Techniques and Technologies for Statistics and Exchange of Technology and Know-How; 2001. p. 807–26.
Domingo-Ferrer J, Torra V. A quantitative comparison of disclosure control methods for microdata. In: Doyle P, Lane JI, Theeuwes JJM, Zayatz L, editors. Confidentiality, disclosure and data access: theory and practical applications for statistical agencies. Amsterdam: North-Holland; 2001. p. 111–34.
Yancey WE, Winkler WE, Creecy RH. Disclosure risk assessment in perturbative microdata protection. In: Domingo-Ferrer J, editor. Inference control in statistical databases, LNCS, vol. 2316. Berlin: Springer; 2002. p. 135–52.
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Domingo-Ferrer, J. (2018). SDC Score. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1502
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DOI: https://doi.org/10.1007/978-1-4614-8265-9_1502
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