The Metaverse is essentially a virtual attractive world that attempts to merge (physical and recently digital) reality. The core components, for building a metaverse model, are the recent trendy technologies, artificial intelligence, and the blockchain. The metaverse application in all domains drew the attention of variant individual's behaviours and accordingly the security issues became wider and uncontrolled by organization. Hence, there is an urgent demand for a comprehensive finding of Metaverse security authentication methods using the machine learning and the recent deep learning techniques. In this paper we present a survey of the recent techniques relevant to the mentioned research topic and formulate the problem statement and the main objectives of our model. The intended model should be able to analyse data and detect attacks of different levels of severity.
CITATION STYLE
Ibrahim, I. F., Morsey, M. M., Mahmoud, A. M., & El-Horbaty, E. S. M. (2023). Towards Developing a Metaverse Authentication Model for Mobile Features. In International Conference on Enterprise Information Systems, ICEIS - Proceedings (Vol. 1, pp. 691–697). Science and Technology Publications, Lda. https://doi.org/10.5220/0012039000003467
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