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Confidentialising Maps of Mixed Point and Diffuse Spatial Data

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Privacy in Statistical Databases (PSD 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7556))

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Abstract

In this paper we provide an introduction to the area of disseminating spatial data through maps, including an overview of confidentialisation techniques. To date, published methods have focussed on confidentialising maps of spatial point data, mainly in the context of epidemiological and health research. However, maps of spatial data sets of point and diffuse (line and area) records are becoming more important and require confidentialisation in some applications. In this paper we propose a method for confidentialising maps of spatial data sets which include a mixture of point, line and area records. The method combines and adapts traditional non-perturbative disclosure control techniques.

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Authors and Affiliations

  1. CSIRO Mathematics, Informatics and Statistics, GPO Box 664, Canberra, ACT, 2601, Australia

    Christine M. O’Keefe

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  1. Christine M. O’Keefe
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Editors and Affiliations

  1. Departament d’Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili UNESCO Chair in Data Privacy, Av. Països Catalans 26, E-43007, Tarragona, Catalonia, Spain

    Josep Domingo-Ferrer

  2. Dipartimento di Ingegneria Elettrica, Elettronica e delle Telecomunicazioni, di tecnologie Chimiche, Automatica e modelli Matematici, Università degli Studi di Palermo, Viale delle Scienze, edificio 9, 90128, Palermo, Italy

    Ilenia Tinnirello

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O’Keefe, C.M. (2012). Confidentialising Maps of Mixed Point and Diffuse Spatial Data. In: Domingo-Ferrer, J., Tinnirello, I. (eds) Privacy in Statistical Databases. PSD 2012. Lecture Notes in Computer Science, vol 7556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33627-0_18

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  • DOI: https://doi.org/10.1007/978-3-642-33627-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33626-3

  • Online ISBN: 978-3-642-33627-0

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