Automating Visual Privacy Protection in the IoT Space

Shilin Zhu, Chi Zhang, Xinyu Zhang
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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. Our prototype implementation and experiments show that LiShield can effectively destroy unauthorized capturing while maintaining robustness against potential attacks.
物联网空间中可视化隐私保护的自动化
移动拍照设备的普及引发了人们对隐私问题的强烈关注,而隐私保护仍然依赖于摄影师或相机硬件的配合,这在实践中很难得到保证。在本文中,我们介绍了lisshield,它通过以特定波形闪烁的智能led照亮物理场景,自动保护物理场景免受拍摄。我们的原型实现和实验表明,lisshield可以有效地破坏未经授权的捕获,同时保持对潜在攻击的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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