IDEAS home Printed from
   My bibliography  Save this paper

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


  • Akimichi Takemura

    (Faculty of Economics, University of Tokyo.)


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.

Suggested Citation

  • Akimichi Takemura, 1999. "Calculating Minimum k-unsafe and Maximum k-safe Sets of Variables for Disclosure Risk Assessment of Individual Records in a Micordata Set," CIRJE F-Series CIRJE-F-37, CIRJE, Faculty of Economics, University of Tokyo.
  • Handle: RePEc:tky:fseres:99cf37

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Tetsuji Okazaki & Takafumi Korenaga, 1999. "The Foreign Exchange Allocation Policy in Postwar Japan: Its Institutional Framework and Function," NBER Chapters,in: Changes in Exchange Rates in Rapidly Developing Countries: Theory, Practice, and Policy Issues (NBER-EASE volume 7), pages 311-340 National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tky:fseres:99cf37. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CIRJE administrative office). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.