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Some Remarks and Ideas About Monetization of Sensitive Data

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Book cover Data Privacy Management, and Security Assurance (DPM 2015, QASA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9481))

Abstract

One of the emerging problems on the border of privacy protection research and e-commerce is the monetization of sensitive data. More precisely, a client would like to obtain some statistical data about users’ personal information in exchange for a reward. To satisfy both parties, a monetization protocol should ensure that users’ privacy is not violated and the data utility is preserved at the same time.

During ESORICS 2014 Bilogrevic et al. presented a novel and promising approach to monetization of aggregated sensitive data. In our paper, we point some flaws and shortcomings of the presented protocol. We also make some general methodological remarks to explain why some auspicious directions of data monetization might be futile. Finally, we propose a simple scheme for a secure data aggregation based on sharing trust between different non-collaborating parties.

Supported by Polish National Science Center DEC-2013/09/B/ST6/02251.

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Notes

  1. 1.

    In some formulas for the sake of simplicity we identify a random variable with its distribution.

  2. 2.

    Value k / n has similar influence on privacy as the parameter \(\gamma \) in [24].

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Acknowledgments

We would like to thank the anonymous referees for their very important comments and for providing directions for further work.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Fundamental Problems of Technology, Wrocław University of Technology, Wrocław, Poland

    Ania M. Piotrowska & Marek Klonowski

Authors
  1. Ania M. Piotrowska
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  2. Marek Klonowski
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Corresponding author

Correspondence to Marek Klonowski .

Editor information

Editors and Affiliations

  1. Telecom SudParis, Evry, France

    Joaquin Garcia-Alfaro

  2. Universitat Autònoma de Barcelona, Bellaterra, Spain

    Guillermo Navarro-Arribas

  3. University of Urbino, Urbino, Italy

    Alessandro Aldini

  4. National Research Council - C.N.R., Pisa, Italy

    Fabio Martinelli

  5. Department of Computer Science, TU Darmstadt, Darmstadt, Germany

    Neeraj Suri

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Piotrowska, A.M., Klonowski, M. (2016). Some Remarks and Ideas About Monetization of Sensitive Data. In: Garcia-Alfaro, J., Navarro-Arribas, G., Aldini, A., Martinelli, F., Suri, N. (eds) Data Privacy Management, and Security Assurance. DPM QASA 2015 2015. Lecture Notes in Computer Science(), vol 9481. Springer, Cham. https://doi.org/10.1007/978-3-319-29883-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-29883-2_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29882-5

  • Online ISBN: 978-3-319-29883-2

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