Towards Zero-trust Security for the Metaverse
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Abstract (arXiv)
By focusing on immersive interaction among users, the burgeoning Metaverse can be viewed as a natural extension of existing social media. Similar to traditional online social networks, there are numerous security and privacy issues in the Metaverse (e.g., attacks on user authentication and impersonation). In this paper, we develop a holistic research agenda for zero-trust user authentication in social virtual reality (VR), an early prototype of the Metaverse. Our proposed research includes four concrete steps: investigating biometrics-based authentication that is suitable for continuously authenticating VR users, leveraging federated learning (FL) for protecting user privacy in biometric data, improving the accuracy of continuous VR authentication with multimodal data, and boosting the usability of zero-trust security with adaptive VR authentication. Our preliminary study demonstrates that conventional FL algorithms are not well suited for biometrics-based authentication of VR users, leading to an accuracy of less than 10%. We discuss the root cause of this problem, the associated open challenges, and several future directions for realizing our research vision.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 17 of its 38 references that are in the map. First posted on arXiv 17 Feb 2023.
Builds on
17 of 38 references.
References · 17
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5 more
- 2022Will Metaverse be NextG Internet? Vision, Hype, and Realitycited by 14
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