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Flexible Regulation with Privacy Points

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7449))

Abstract

We propose a utilitarian approach to a uniform regulatory framework to assess privacy impact and to establish compensatory actions. “Privacy points” gauge the effect of measures on people’s privacy. Privacy points are exchangeable and, hence, give companies room for innovation in how they improve people’s privacy. Regulators lose control on details while getting the opportunity to extend their power to a larger portion of the market.

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References

  1. Google’s Schmidt warns regulators against killing innovation (2012), http://www.physorg.com/news/2012-02-google-schmidt.html

  2. Bezzi, M.: Expressing privacy metrics as one-symbol information. In: Proceedings of the 2010 EDBT/ICDT Workshops, EDBT 2010, pp. 29:1–29:5 (2010)

    Google Scholar 

  3. Bruns, E.: The evaluation and accounting methods used in the mitigation and compensation regulation. In: An Analysis and Systematization of the Proceedings and Approaches Used at the Federal and State Levels. Dissertation, TU Berlin (2007)

    Google Scholar 

  4. Buchanan, T., Paine, C., Joinson, A.N., Reips, U.-D.: Development of measures of online privacy concern and protection for use on the internet. Journal of the American Society for Information Science and Technology 58(2), 157–165 (2007)

    Article  Google Scholar 

  5. Dayarathna, R.: Taxonomy for information privacy metrics. Journal of International Commercial Law and Technology 6(4) (2011)

    Google Scholar 

  6. Diaz, C.: Anonymity metrics revisited. In: Dolev, S., Ostrovsky, R., Pfitzmann, A. (eds.) Anonymous Communication and its Applications, Dagstuhl, Germany. Dagstuhl Seminar Proceedings, vol. 05411 (2006)

    Google Scholar 

  7. Gellert, R., Kloza, D.: Can Privacy Impact Assessment Mitigate Civil Liability? A Precautionary Approach. In: IRIS 2012 Proceedings of the 15th International Legal Informatics Symposium, pp. 497–505 (2012)

    Google Scholar 

  8. Herrmann, D.S.: Complete Guide to Security and Privacy Metrics: Measuring Regulatory Compliance, Operational Resilience, and ROI (2007)

    Google Scholar 

  9. ICO. Privacy impact assessment (PIA) handbook, Version 2.0 (2009), http://www.tbs-sct.gc.ca/pol/doc-eng.aspx?id=12451

  10. Landesamt für Natur, Umwelt und Verbraucherschutz Nordrhein-Westfalen. Numerische Bewertung von Biotoptypen für die Eingriffsregelung in NRW (2008)

    Google Scholar 

  11. Pfitzmann, A., Hansen, M.: A terminology for talking about privacy by data minimization: Anonymity, unlinkability, undetectability, unobservability, pseudonymity, and identity management, v0.34 (August 2010), http://dud.inf.tu-dresden.de/literatur/Anon_Terminology_v0.34.pdf

  12. Reiter, M.K., Rubin, A.D.: Crowds: anonymity for web transactions. ACM Trans. Inf. Syst. Secur. 1(1), 66–92 (1998)

    Article  Google Scholar 

  13. Shokri, R., Freudiger, J., Jadliwala, M., Hubaux, J.-P.: A distortion-based metric for location privacy, pp. 21–30 (2009)

    Google Scholar 

  14. Sweeney, L.: k-anonymity: a model for protecting privacy. Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 10(5), 557–570 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  15. Wright, D.: Should privacy impact assessments be mandatory? Commun. ACM 54(8), 121–131 (2011)

    Article  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Langweg, H., Rajbhandari, L. (2012). Flexible Regulation with Privacy Points. In: Fischer-Hübner, S., Katsikas, S., Quirchmayr, G. (eds) Trust, Privacy and Security in Digital Business. TrustBus 2012. Lecture Notes in Computer Science, vol 7449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32287-7_14

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  • DOI: https://doi.org/10.1007/978-3-642-32287-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32286-0

  • Online ISBN: 978-3-642-32287-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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