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Measuring Privacy Compliance Using Fitness Metrics

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Business Process Management (BPM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7481))

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Abstract

Nowadays, repurposing of personal data is a major privacy issue. Detection of data repurposing requires posteriori mechanisms able to determine how data have been processed. However, current a posteriori solutions for privacy compliance are often manual, leading infringements to remain undetected. In this paper, we propose a privacy compliance technique for detecting privacy infringements and measuring their severity. The approach quantifies infringements by considering a number of deviations from specifications (i.e., insertion, suppression, replacement, and re-ordering).

This work is funded by the Dutch national program COMMIT through the THeCS project and by the European Commission through the FP7 TClouds project (nr. 257243).

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References

  1. Petković, M., Prandi, D., Zannone, N.: Purpose Control: Did You Process the Data for the Intended Purpose? In: Jonker, W., Petković, M. (eds.) SDM 2011. LNCS, vol. 6933, pp. 145–168. Springer, Heidelberg (2011)

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Author information

Authors and Affiliations

  1. Philips Research Eindhoven, The Netherlands

    Sebastian Banescu & Milan Petković

  2. Eindhoven University of Technology, The Netherlands

    Sebastian Banescu, Milan Petković & Nicola Zannone

Authors
  1. Sebastian Banescu
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  2. Milan Petković
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  3. Nicola Zannone
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Editor information

Editors and Affiliations

  1. Faculty of Science and Technology, Information Systems Discipline, Business Process Management Group, Queensland University of Technology, Level 5, 126 Margaret Street, 4000, Brisbane, QLD, Australia

    Alistair Barros

  2. Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, 32000, Technion City, Haifa, Israel

    Avigdor Gal

  3. Informatics and Mathematical Modelling, Technical University of Denmark, Richard Petersens Plads, 2800, Kgs. Lynbgy, Denmark

    Ekkart Kindler

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© 2012 Springer-Verlag Berlin Heidelberg

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Banescu, S., Petković, M., Zannone, N. (2012). Measuring Privacy Compliance Using Fitness Metrics. In: Barros, A., Gal, A., Kindler, E. (eds) Business Process Management. BPM 2012. Lecture Notes in Computer Science, vol 7481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32885-5_8

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  • DOI: https://doi.org/10.1007/978-3-642-32885-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32884-8

  • Online ISBN: 978-3-642-32885-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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