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Cambridge International Workshop on Security Protocols

Security Protocols 2016: Security Protocols XXIV pp 90–95Cite as

Novel Security and Privacy Perspectives of Camera Fingerprints

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10368))

Abstract

Camera fingerprinting is a technology established in the signal processing community for image forensics. We explore its novel security and privacy perspectives that have been so far largely ignored, including its applications in privacy intrusion, in handling new socio-technical problems such as revenge porn, and in building a novel authentication mechanism – any photo you take are you.

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References

  1. Liu, B.B., Wei, X., Yan, J.: Enhancing sensor pattern noise for source camera identification: an empirical evaluation. In: Proceeding of 3rd ACM Workshop on Information Hiding and Multimedia Security. pp. 85–90 (2015)

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Acknowledgements

I thank Mike Bond, James Lei, Laurent Simon, Bingsheng Zhang and the workshop attendees for discussing some of the ideas.

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Authors and Affiliations

  1. Security Lancaster, School of Computing and Communications, Lancaster University, Lancaster, UK

    Jeff Yan

Authors
  1. Jeff Yan
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Correspondence to Jeff Yan .

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Editors and Affiliations

  1. Memorial University, St. John’s, Newfoundland and Labrador, Canada

    Jonathan Anderson

  2. Faculty of Informatics, Masaryk University, Brno, Czech Republic

    Vashek Matyáš

  3. University of Hertfordshire, Hertfordshire, United Kingdom

    Bruce Christianson

  4. University of Cambridge, Cambridge, United Kingdom

    Frank Stajano

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Cite this paper

Yan, J. (2017). Novel Security and Privacy Perspectives of Camera Fingerprints. In: Anderson, J., Matyáš, V., Christianson, B., Stajano, F. (eds) Security Protocols XXIV. Security Protocols 2016. Lecture Notes in Computer Science(), vol 10368. Springer, Cham. https://doi.org/10.1007/978-3-319-62033-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-62033-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62032-9

  • Online ISBN: 978-3-319-62033-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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