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Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges by Chen, Chuan; Li, Yuecheng; Wu, Zhenpeng; Mai, Chengyuan; Liu, Youming; Hu, Yanming; Zheng, Zibin; Kang, Jiawen is a scholarly article available to read on EtoBox.

What is Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges about?

Metaverse, the core of the next-generation Internet, is a computer-generated holographic digital environment that simultaneously combines spatio-temporal, immersive, real-time, sustainable, interoperable, and data-sensitive characteristics. It cleverly blends the virtual and real worlds, allowing users to create, communicate, and transact in virtual form. With the rapid development of emerging technologies including augmented reality, virtual reality and blockchain, the metaverse system is becoming more and more sophisticated and widely used in various fields such as social, tourism, industry and economy. However, the high level of interaction with the real world also means a huge risk of privacy leakage both for individuals and enterprises, which has hindered the wide deployment of metaverse. Then, it is inevitable to apply privacy computing techniques in the framework of metaverse, which is a current research hotspot. In this paper, we conduct comprehensive research on the necessity, taxonomy and challenges when privacy computing meets metaverse. Specifically, we first introduce the underlying technologies and various applications of metaverse, on which we analyze the challenges

Author

Chen, Chuan; Li, Yuecheng; Wu, Zhenpeng; Mai, Chengyuan; Liu, Youming; Hu, Yanming; Zheng, Zibin; Kang, Jiawen

Published

2023

Language

EN