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Calculating Minimum k-unsafe and Maximum k-safe Sets of Variables for Disclosure Risk Assessment of Individual Records in a Micordata Set

Listed author(s):
  • Akimichi Takemura

    (Faculty of Economics, University of Tokyo.)

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    In the framework of disclosure control of a microdata set, an unique record is at risk of being identified. Even if a record is not unique in the microdata set, it may be considered risky if the frequency k of the cell, in which the record falls, is small. The notion of minimum unsafe combination introduced by Willenborg and de Waal (1996) is important in this respect. The purpose of this paper is to clearly define closely related notions and give an algorithm for obtaining relevant combinations of variables. We will define minimum k-unsafe and maximum k-safe sets of variables for each record and give an illustration to show the usefulness of the proposed technique.

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    Paper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number CIRJE-F-37.

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    Length: 16 pages
    Date of creation: Jan 1999
    Handle: RePEc:tky:fseres:99cf37
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