IDEAS home Printed from https://ideas.repec.org/p/uwe/wpaper/20151503.html
   My bibliography  Save this paper

User-focused threat identification for anonymised microdata

Author

Listed:
  • Hans-Peter Hafner

    (Saarland State University of Applied Sciences)

  • Felix Ritchie

    () (University of the West of England, Bristol)

  • Rainer Lenz

    (Technical University of Dortmund)

Abstract

When producing anonymised microdata for research, national statistics institutes (NSIs) identify a number of 'risk scenarios' of how intruders might seek to attack a confidential dataset. This paper argues that the strategy used to identify confidentiality protection measures can be seriously misguided, mainly since scenarios focus on data protection without sufficient reference to other aspects of data. This paper brings together a number of findings to see how the above problem can be addressed in a practical context. Using as an example the creation of a scientific use file, the paper demonstrates that an alternative perspective can have dramatically different outcomes.

Suggested Citation

  • 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.
  • Handle: RePEc:uwe:wpaper:20151503
    as

    Download full text from publisher

    File URL: http://www2.uwe.ac.uk/faculties/BBS/BUS/Research/Economics%20Papers%202015/1503.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Gail Pacheco & De Wet van der Westhuizen & Don J. Webber, 2012. "The changing influence of culture on job satisfaction across Europe: 1981-2008," Working Papers 2012-06, Auckland University of Technology, Department of Economics.
    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. 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.
    2. Ritchie, Felix, 2017. "Spontaneous recognition: an unnecessary control on data access?," Statistics Paper Series 24, European Central Bank.
    3. 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.
    4. 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.
    5. Felix Ritchie & Jim Smith, 2019. "Confidentiality and linked data," Papers 1907.06465, arXiv.org.

    More about this item

    Keywords

    statistical disclosure control; data protection; microdata anonymisation; big data;

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:uwe:wpaper:20151503. 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: (Felix Ritchie). General contact details of provider: http://edirc.repec.org/data/seuweuk.html .

    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 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.

    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.