Synonyms
Attribute disclosure; Identity disclosure;Re-identification risk
Definition
In the context of statistical disclosure control, disclosure risk can be defined as the risk that a user or an intruder can use the protected dataset V′ to derive confidential information on an individual among those in the original dataset V. This approach to disclosure risk was formulated in Dalenius [1].
Key Points
Disclosure risk can be regarded from two different perspectives, according to Paass [2]:
1. Attribute disclosure. Attribute disclosure takes place when an attribute of an individual can be determined more accurately with access to the released statistic than it is possible without access to that statistic.
2. Identity disclosure. Identity disclosure takes place when a record in the protected dataset can be linked with a respondent’s identity. Two main approaches are usually employed for measuring identity disclosure risk: uniqueness and re-identification.
2.1. UniquenessRoughly...
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Dalenius T. Towards a methodology for statistical disclosure control. Stat Tidskr. 1977;5(429–444):2–1.
Paass G. Disclosure risk and disclosure avoidance for microdata. J Bus Econ Stat. 1985;6(4):487–500.
Spruill NL. The confidentiality and analytic usefulness of masked business microdata. In: Proceedings of the Section on Survey Research Methods; 1983. p. 602–7.
Winkler WE. Re-identification methods for masked microdata. In: Domingo-Ferrer J, Torra V, editors. Privacy in statistical databases, LNCS, vol. 3050. Berlin: Springer; 2004. p. 216–30.
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Domingo-Ferrer, J. (2018). Disclosure Risk. 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_1506
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DOI: https://doi.org/10.1007/978-1-4614-8265-9_1506
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