Skip to main content

Data Swapping for Protecting Census Tables

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6344))

Abstract

The pre-tabular statistical disclosure control (SDC) method of data swapping is the preferred method for protecting Census tabular data in some National Statistical Institutes, including the United States and Great Britain. A pre-tabular SDC method has the advantage that it only needs to be carried out once on the microdata and all tables released (under the conditions of the output strategies, eg. fixed categories of variables, minimum cell size and population thresholds) are considered protected. In this paper, we propose a method for targeted data swapping. The method involves a probability proportional to size selection strategy of high risk households for data swapping. The selected households are then paired with other households having the same control variables. In addition, the distance between paired households is determined by the level of risk with respect to the geographical hierarchies. The strategy is compared to a random data swapping strategy in terms of the disclosure risk and data utility.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Duncan, G., Keller-McNulty, S., Stokes, S.: Disclosure Risk vs. Data Utility: the R-U Confidentiality Map. Technical Report LA-UR-01-6428. Statistical Sciences Group. Los Alamos National Laboratory, Los Alamos (2001)

    Google Scholar 

  2. Gomatam, S., Karr, A.: Distortion Measures for Categorical Data Swapping. Technical Report Number 131, National Institute of Statistical Sciences (2003)

    Google Scholar 

  3. Gouweleeuw, J., Kooiman, P., Willenborg, L.C.R.J., De Wolf, P.P.: Post Randomisation for Statistical Disclosure Control: Theory and Implementation. Journal of Official Statistics 14, 463–478 (1998)

    Google Scholar 

  4. Shlomo, N.: Statistical Disclosure Control Methods for Census Frequency Tables. International Statistical Review 75(2), 199–217 (2007)

    Article  Google Scholar 

  5. Young, C., Martin, D., Skinner, C.J.: Geographical Intelligent Disclosure Control for Flexible Aggregation of Census Data. International Journal of Geographical Information Science 23(4), 457–482 (2009)

    Article  Google Scholar 

  6. Willenborg, L., de Waal, T.: Elements of Statistical Disclosure Control. Lecture Notes in Statistics, vol. 155. Springer, New York (2001)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shlomo, N., Tudor, C., Groom, P. (2010). Data Swapping for Protecting Census Tables. In: Domingo-Ferrer, J., Magkos, E. (eds) Privacy in Statistical Databases. PSD 2010. Lecture Notes in Computer Science, vol 6344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15838-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15838-4_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15837-7

  • Online ISBN: 978-3-642-15838-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics