Skip to main content

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.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-662-48051-9_20
  • Chapter length: 7 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   54.99
Price excludes VAT (USA)
  • ISBN: 978-3-662-48051-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   69.99
Price excludes VAT (USA)

References

  1. Google Glass targeted as symbol by anti-tech crowd. http://edition.cnn.com/2014/04/14/tech/mobile/google-glass-attack/. Accessed 10 July 2014

  2. Barhm, M.S., Qwasmi, N., Qureshi, F.Z., el-Khatib, K.: Negotiating privacy preferences in video surveillance systems. In: Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Ali, M. (eds.) IEA/AIE 2011, Part II. LNCS, vol. 6704, pp. 511–521. Springer, Heidelberg (2011)

    Google Scholar 

  3. Dabrowski, A., Weippl, E.R., Echizen, I.: Framework based on privacy policy hiding for preventing unauthorized face image processing. In: 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 455–461. IEEE (2013)

    Google Scholar 

  4. Denning, T., Dehlawi, Z., Kohno, T.: In situ with bystanders of augmented reality glasses: perspectives on recording and privacy-mediating technologies. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, pp. 2377–2386. ACM (2014)

    Google Scholar 

  5. Harvey, A.: CV Dazzle, 2010–2012. http://cvdazzle.com/. Accessed 10 April 2014

  6. Henne, B., Szongott, C., Smith, M.: Snapme if you can: privacy threats of other peoples’ geo-tagged media and what we can do about it. In: Proceedings of the Sixth ACM Conference on Security and Privacy in Wireless and Mobile Networks, pp. 95–106. ACM (2013)

    Google Scholar 

  7. Pallas, F., Ulbricht, M.-R., Jaume-Palasí, L., Höppner, U.: Offlinetags: a novel privacy approach to online photo sharing. In: CHI 2014 Extended Abstracts on Human Factors in Computing Systems, CHI EA 2014, pp. 2179–2184. ACM, New York (2014)

    Google Scholar 

  8. Patel, S.N., Summet, J.W., Truong, K.N.: Blindspot: creating capture-resistant spaces. In: Senior, A. (ed.) Protecting Privacy in Video Surveillance, pp. 185–201. Springer, Heidelberg (2009)

    Google Scholar 

  9. Schiff, J., Meingast, M., Mulligan, D.K., Sastry, S., Goldberg, K.: Respectful cameras: detecting visual markers in real-time to address privacy concerns. In: Senior, A. (ed.) Protecting Privacy in Video Surveillance, pp. 65–89. Springer, Heidelberg (2009)

    Google Scholar 

  10. Templeman, R., Korayem, M., Crandall, D., Kapadia, A.: Placeavoider: steering first-person cameras away from sensitive spaces. In: Network and Distributed System Security Symposium (NDSS) (2014)

    Google Scholar 

  11. Yamada, T., Gohshi, S., Echizen, I.: Use of invisible noise signals to prevent privacy invasion through face recognition from camera images. In: Proceedings of the 20th ACM International Conference on Multimedia, MM 2012, pp. 1315–1316. ACM, New York (2012)

    Google Scholar 

  12. Yamada, T., Gohshi, S., Echizen, I.: Privacy visor: method for preventing face image detection by using differences in human and device sensitivity. In: De Decker, B., Dittmann, J., Kraetzer, C., Vielhauer, C. (eds.) CMS 2013. LNCS, vol. 8099, pp. 152–161. Springer, Heidelberg (2013)

    Google Scholar 

  13. Yus, R., Pappachan, P., Das, P.K., Mena, E., Joshi, A., Finin, T.: Demo: faceblock: privacy-aware pictures for google glass. In: Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services, pp. 366–366. ACM (2014)

    Google Scholar 

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Katharina Krombholz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2015 International Financial Cryptography Association

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48050-2

  • Online ISBN: 978-3-662-48051-9

  • eBook Packages: Computer ScienceComputer Science (R0)