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Journal of Cybersecurity and Privacy, Volume 6, Issue 1

2026 February - 39 articles

Cover Story: The metaverse enables immersive and personalized learning environments through XR and AI technologies. However, realizing these benefits requires strong safeguards for user privacy, autonomy, and trust. This study presents a structured literature review and comparative analysis of privacy challenges, consent models, and digital boundaries across metaverse platforms, with a focus on education. We examine the types and levels of data collected, including behavioral, biometric, and environmental data, and analyze the security and privacy risks of continuous and opaque data capture. Particular attention is given to the expanded attack surface introduced by XR technologies and AI-driven personalization. Our findings highlight the need for privacy-by-design and adaptive consent mechanisms to support trustworthy and sustainable metaverse systems. View this paper

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J. Cybersecur. Priv. - ISSN 2624-800X

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