Exploring Device-Oriented Video Encryption for Hierarchical Privacy Protection in AR Content Sharing
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866912200549990400 |
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| author | Hu, Yongquan Zheng, Dongsheng Nie, Kexin Zhang, Junyan Hu, Wen Quigley, Aaron |
| author_facet | Hu, Yongquan Zheng, Dongsheng Nie, Kexin Zhang, Junyan Hu, Wen Quigley, Aaron |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_10964 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Exploring Device-Oriented Video Encryption for Hierarchical Privacy Protection in AR Content Sharing Hu, Yongquan Zheng, Dongsheng Nie, Kexin Zhang, Junyan Hu, Wen Quigley, Aaron Human-Computer Interaction 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. |
| title | Exploring Device-Oriented Video Encryption for Hierarchical Privacy Protection in AR Content Sharing |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2411.10964 |