加密
计算机科学
点云
动态加密
云计算
文件系统级加密
架空(工程)
点(几何)
客户端加密
延迟(音频)
隐藏物
磁盘加密
密码学
多重加密
磁盘加密硬件
40位加密
概率加密
实时计算
56位加密
分布式计算
基于属性的加密
计算
嵌入式系统
计算机硬件
链路加密
计算机网络
计算机视觉
钥匙(锁)
可视化
作者
Mohammad Waquas Usmani,Susmit Shannigrahi,Michael Zink
出处
期刊:
日期:2025-10-23
卷期号:: 456-461
被引量:3
标识
DOI:10.1145/3704413.3765298
摘要
This work aims to enable efficient digital rights management (DRM) for volumetric video by introducing attribute-based selective coordinate encryption for point clouds. By encrypting only a subset of coordinates, our approach reduces computational overhead and latency while maintaining necessary security. Selective encryption ensures that point cloud frames—and, by extension, entire volumetric videos—are sufficiently obfuscated so that, while the content remains viewable, it appears highly distorted and visually unpleasant, preventing meaningful unauthorized viewing. We propose a flexible framework that allows varying the amount and type of co-ordinate encryption (e.g., X, Y, Z, or combinations), and we assess visual degradation using established point cloud quality metrics. Our results show that encrypting only X coordinates cuts encryption and decryption times by 37% and 46%, respectively, compared to full-frame encryption, while X and Y encryption achieves 20% and 36% reductions, both still significantly degrading visual quality. Leveraging Attribute-Based Encryption (ABE) further enables content to be securely cached and efficiently distributed in its protected form, eliminating the need for re-encryption, thereby reducing computational load and latency. While our current evaluation is limited to individual point cloud frames, future work will extend to entire volumetric video streams, including analysis of caching gains during streaming with ABE.
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