IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v50y2016i2p729-749.html
   My bibliography  Save this article

A probabilistic approach for disclosure risk assessment in statistical databases

Author

Listed:
  • Bice Cavallo
  • Gerardo Canfora

Abstract

In this paper, disclosure risk assessment in Statistical Databases is performed by means of a probabilistic approach; in particular, we consider the problem of auditing databases that support statistical sum/count/mean/max/min queries to protect the privacy of sensitive boolean data. We provide both a theoretical framework for evaluating the disclosure risk and a tool for its control and management. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Bice Cavallo & Gerardo Canfora, 2016. "A probabilistic approach for disclosure risk assessment in statistical databases," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 729-749, March.
    • Handle: RePEc:spr:qualqt:v:50:y:2016:i:2:p:729-749
    DOI: 10.1007/s11135-015-0173-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-015-0173-5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-015-0173-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Horng-Jinh Chang & Chih-Li Wang & Kuo-Chung Huang, 2005. "On estimating the proportion of a qualitative sensitive character using randomized response sampling," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(5), pages 675-680, January.
    2. Hong Zhimin & Yan Zaizai, 2012. "Measure of privacy in randomized response model," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(4), pages 1167-1180, June.
    3. Bice Cavallo & Gerardo Canfora & Livia D’Apuzzo & Massimo Squillante, 2014. "Reasoning under uncertainty and multi-criteria decision making in data privacy," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 1957-1972, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bice Cavallo & Livia D’Apuzzo & Massimo Squillante, 2015. "A multi-criteria decision making method for sustainable development of Naples port city-area," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1647-1659, July.
    2. Richard Hnilica & Martin Jankovský & Miroslav Dado & Valéria Messingerová & Marián Schwarz & Darina Veverková, 2017. "Use of the analytic hierarchy process for complex assessment of the work environment," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 93-101, January.

    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:qualqt:v:50:y:2016:i:2:p:729-749. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.