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International Workshop on Privacy Enhancing Technologies

PET 2006: Privacy Enhancing Technologies pp 99–117Cite as

Privacy Injector — Automated Privacy Enforcement Through Aspects

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 4258))

Abstract

Protection of personal data is essential for customer acceptance. Even though existing privacy policies can describe how data shall be handled, privacy enforcement remains a challenge. Especially for existing applications, it is unclear how one can effectively ensure correct data handling without completely redesigning the applications. In this paper we introduce Privacy Injector, which allows us to add privacy enforcement to existing applications.

Conceptually Privacy Injector consists of two complementary parts, namely, a privacy metadata tracking and a privacy policy enforcement part. We show how Privacy Injector protects the complete life cycle of personal data by providing us with a practical implementation of the “sticky policy paradigm.” Throughout the collection, transformation, disclosure and deletion of personal data, Privacy Injector will automatically assign, preserve and update privacy metadata as well as enforce the privacy policy. As our approach is policy-agnostic, we can enforce any policy language that describes which actions may be performed on which data.

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Author information

Authors and Affiliations

  1. Zurich Research Laboratory, IBM Research, Säumerstrasse 4, CH-8803, Rüschlikon, Switzerland

    Chris Vanden Berghe & Matthias Schunter

  2. Katholieke Universiteit Leuven, Celestijnenlaan 200A, B-3001, Leuven, Belgium

    Chris Vanden Berghe

Authors
  1. Chris Vanden Berghe
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  2. Matthias Schunter
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Editor information

Editors and Affiliations

  1. Microsoft Research, Cambridge, UK

    George Danezis

  2. Palo Alto Research Center, 3333 Coyote Hill Rd, 94304, Palo Alto, CA, USA

    Philippe Golle

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© 2006 Springer-Verlag Berlin Heidelberg

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Berghe, C.V., Schunter, M. (2006). Privacy Injector — Automated Privacy Enforcement Through Aspects. In: Danezis, G., Golle, P. (eds) Privacy Enhancing Technologies. PET 2006. Lecture Notes in Computer Science, vol 4258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11957454_6

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  • DOI: https://doi.org/10.1007/11957454_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68790-0

  • Online ISBN: 978-3-540-68793-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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