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International Conference on Financial Cryptography and Data Security

FC 2015: Financial Cryptography and Data Security pp 274–280Cite as

Ok Glass, Leave Me Alone: Towards a Systematization of Privacy Enhancing Technologies for Wearable Computing

Part of the Lecture Notes in Computer Science book series (LNSC,volume 8976)

Abstract

In the coming age of wearable computing, devices such as Google Glass will become as ubiquitous as smartphones. Their foreseeable deployment in public spaces will cause distinct implications on the privacy of people recorded by these devices. Particularly the discreet recording capabilities of such devices pose new challenges to consensual image disclosure. Therefore, new Privacy Enhancing Technologies (PETs) will be needed to help preserve our digital privacy. At the time of writing, no such PETs are available on the market to communicate privacy preferences towards Glass. In the scientific literature, a handful of approaches has been presented. However, none of them has been evaluated regarding their affordances and overall usefulness. In this paper, we provide the first systematization and qualitative evaluation of state of the art PETs that were designed to communicate privacy preferences towards (wearable) cameras, such as Google Glass. The purpose of this paper is to foster a broader discourse on how such technology should be designed in order to be fully privacy preserving and usable.

Keywords

  • Facial Recognition
  • Visual Marker
  • Privacy Preference
  • Augmented Reality Application
  • Physical Artifact

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Acknowledgements

We would like to thank Johanna Ullrich and the reviewers for their insightful comments. The research was funded by COMET K1, FFG - Austrian Research Promotion Agency.

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Authors and Affiliations

  1. SBA Research, Vienna, Austria

    Katharina Krombholz, Adrian Dabrowski & Edgar Weippl

  2. Usable Security and Privacy Group, University of Bonn, Bonn, Germany

    Matthew Smith

Authors
  1. Katharina Krombholz
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  2. Adrian Dabrowski
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  3. Matthew Smith
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  4. Edgar Weippl
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Corresponding author

Correspondence to Katharina Krombholz .

Editor information

Editors and Affiliations

  1. Leibniz Universität, Hannover, Germany

    Michael Brenner

  2. Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

    Nicolas Christin

  3. Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

    Benjamin Johnson

  4. New Jersey Institute of Technology, Newark, New Jersey, USA

    Kurt Rohloff

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© 2015 International Financial Cryptography Association

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Krombholz, K., Dabrowski, A., Smith, M., Weippl, E. (2015). Ok Glass, Leave Me Alone: Towards a Systematization of Privacy Enhancing Technologies for Wearable Computing. In: Brenner, M., Christin, N., Johnson, B., Rohloff, K. (eds) Financial Cryptography and Data Security. FC 2015. Lecture Notes in Computer Science(), vol 8976. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48051-9_20

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  • DOI: https://doi.org/10.1007/978-3-662-48051-9_20

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