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Automating Visual Privacy Protection Using a Smart LED

Authors:

Xinyu ZhangAuthors Info & Claims

MobiCom '17: Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking

Pages 329 - 342

https://doi.org/10.1145/3117811.3117820

Published: 04 October 2017 Publication History

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Abstract

The ubiquity of mobile camera devices has been triggering an outcry of privacy concerns, whereas privacy protection still relies on the cooperation of the photographer or camera hardware, which can hardly be guaranteed in practice. In this paper, we introduce LiShield, which automatically protects a physical scene against photographing, by illuminating it with smart LEDs flickering in specialized waveforms. We use a model-driven approach to optimize the waveform, so as to ensure protection against the (uncontrollable) cameras and potential image-processing based attacks. We have also designed mechanisms to unblock authorized cameras and enable graceful degradation under strong ambient light interference. Our prototype implementation and experiments show that LiShield can effectively destroy unauthorized capturing while maintaining robustness against potential attacks.

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Automating Visual Privacy Protection Using a Smart LED

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cover image ACM Conferences

MobiCom '17: Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking

October 2017

628 pages

ISBN:9781450349161

DOI:10.1145/3117811

General Chair:
Kobus Van der Merwe
University of Utah
,
Program Chairs:
Ben Greenstein
Google, USA
,
Kannan Srinivasan
Ohio State University, USA

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MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking

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