IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-50272-4_2.html
   My bibliography  Save this book chapter

Basic Concepts

In: Statistical Disclosure Control for Microdata

Author

Listed:
  • Matthias Templ

    (Zurich University of Applied Sciences (ZHAW), Institute of Data Analysis and Process Design (IDP), School of Engineering (SoE)
    data-analysis OG)

Abstract

This section introduces the basic concepts related to statistical disclosure. It presents definitions for certain groups of variables such as sensitive variables or key variables. They are crucial for any other chapter, since SDC methods differ depending on the variables chosen. In addition, basic intruder scenarios are described such as identity, attribute and inferential disclosure. The chapter ends with a discussion about the trade-off between disclosure risk and information loss. The more the disclosure risk is reduced the higher the information loss and the lower the data utility. The concept of risk-utility maps that reports this trade-off is explained based on real data.

Suggested Citation

  • Matthias Templ, 2017. "Basic Concepts," Springer Books, in: Statistical Disclosure Control for Microdata, chapter 0, pages 35-48, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-50272-4_2
    DOI: 10.1007/978-3-319-50272-4_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    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:spr:sprchp:978-3-319-50272-4_2. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.