IDEAS home Printed from https://ideas.repec.org/a/spr/astaws/v10y2016i1d10.1007_s11943-016-0180-6.html
   My bibliography  Save this article

Recent advances in cyclic perturbation of frequency tables
[Neue Entwicklungen in der zyklischen Überlagerung von Fallzahltabellen]

Author

Listed:
  • Rainer Lenz

    (Faculty of Engineering
    Department of Statistics)

Abstract

As part of statistical disclosure control data holders can only distribute confidential data being sufficiently protected meeting national and institutional legislation. When releasing frequency tables to users, data holders usually apply what are called pre- and post-tabular methods reviewing both diclosure limitation and the users’ requirements. The main characteristic of post-tabular methods is to compute tables on the basis of their original underlying microdata and to perturb them just before transmission to users. The method of cyclic perturbation, proposed in (Duncan and Roehrig, Database Technologies: concepts, methodologies, tools and applications, pp 1823–1843, 2007), is very promising. Here, a sequence of perturbation patterns is added consecutively to some original table following a certain stochastic procedure. The paper presents different variations to define that sequence and discusses appropriate parameter settings in order to balance out the conventional trade-off between data utility and disclosure risk.

Suggested Citation

  • Rainer Lenz, 2016. "Recent advances in cyclic perturbation of frequency tables [Neue Entwicklungen in der zyklischen Überlagerung von Fallzahltabellen]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(1), pages 37-62, February.
    • Handle: RePEc:spr:astaws:v:10:y:2016:i:1:d:10.1007_s11943-016-0180-6
    DOI: 10.1007/s11943-016-0180-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11943-016-0180-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11943-016-0180-6?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. Hans-Peter Hafner & Felix Ritchie & Rainer Lenz, 2015. "User-focused threat identification for anonymised microdata," Working Papers 20151503, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ralf Thomas Münnich, 2016. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(1), pages 1-3, February.
    2. Ralf Münnich, 2016. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(1), pages 1-3, February.

    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. Tanvi Desai & Felix Ritchie & Richard Welpton, 2016. "Five Safes: designing data access for research," Working Papers 20161601, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    2. Felix Ritchie & Jim Smith, 2019. "Confidentiality and linked data," Papers 1907.06465, arXiv.org.
    3. Ritchie, Felix, 2017. "Spontaneous recognition: an unnecessary control on data access?," Statistics Paper Series 24, European Central Bank.
    4. Rainer Lenz, 2016. "Recent advances in cyclic perturbation of frequency tables," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(1), pages 37-62, February.

    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:astaws:v:10:y:2016:i:1:d:10.1007_s11943-016-0180-6. 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.