Securing the metaverse: Machine learning–based perspectives on risk, trust, and governance

Securing the metaverse: Machine learning–based perspectives on risk, trust, and governance

The rapid expansion of the metaverse presents significant cybersecurity and privacy challenges, requiring structured, data-driven analysis. This study applies the ADO-TCM framework and BERTopic modeling to examine drivers of cybersecurity risk, theoretical responses, and interdisciplinary research g...

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Bibliographic Details
Main Authors: Krishnashree Achuthan, Sasangan Ramanathan, Raghu Raman
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:International Journal of Information Management Data Insights
Subjects:
Metaverse security
Cybersecurity governance
Decentralized identity
Privacy protection
User behavior
ADO-TCM framework
Online Access:http://www.sciencedirect.com/science/article/pii/S2667096825000382
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