Content sharing across multiple Augmented Reality (AR) displays is becoming commonplace, enhancing team communication and collaboration through devices like smartphones and AR glasses. However, this practice raises significant privacy concerns, especially concerning the physical environment visible in AR, which may include sensitive personal details like facial features and identifiable information. Our research focuses on protecting privacy within AR environments, particularly the physical backgrounds visible during content sharing across three common AR display methods: projection, smartphone, and AR glasses. We analyze the potential privacy risks associated with each method and employ a Region Of Interest (ROI) video encryption system to hierarchically encrypt the physical backdrop based on its safety rating. This study pioneers the integration of ROI video encryption at the bitstream level within AR contexts, providing a more efficient solution than traditional pixel-level encryption by enhancing encryption speed and reducing the required space. Our adaptive system dynamically adjusts the encryption intensity based on the AR display method, ensuring tailored privacy protection.

翻译：跨多个增强现实（AR）显示设备的内容共享正日益普及，通过智能手机和AR眼镜等设备提升了团队沟通与协作效率。然而，该实践引发了显著的隐私问题，特别是AR场景中可见的物理环境可能包含面部特征等敏感个人信息及可识别信息。本研究聚焦于AR环境中的隐私保护，重点针对投影、智能手机和AR眼镜这三种常见AR显示方式在内容共享过程中可见的物理背景。我们分析了每种显示方式潜在的隐私风险，并采用感兴趣区域（ROI）视频加密系统，根据物理背景的安全评级进行分层加密。本研究首次在AR场景中实现了比特流层面的ROI视频加密集成，相较于传统像素级加密方案，通过提升加密速度并减少所需存储空间，提供了更高效的解决方案。我们的自适应系统能够根据AR显示方式动态调整加密强度，确保定制化的隐私保护效果。