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Authors: Ibrahim Ibrahim 1 ; 2 ; Mohammed Morsey 1 ; Abeer Mahmoud 1 and El-Sayed El-Horbaty 1

Affiliations: 1 Department of Computer Science, Ain Shams University, Cairo, Egypt ; 2 Department of IT Service Management, Ahfad University for Women, Omdurman, Sudan

Keyword(s): Metaverse, IoT, Blockchain, Artificial Intelligence, Healthcare.

Abstract: 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Ibrahim, I.; Morsey, M.; Mahmoud, A. and El-Horbaty, E. (2023). Towards Developing a Metaverse Authentication Model for Mobile Features. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-648-4; ISSN 2184-4992, SciTePress, pages 691-697. DOI: 10.5220/0012039000003467

@conference{iceis23,
author={Ibrahim Ibrahim. and Mohammed Morsey. and Abeer Mahmoud. and El{-}Sayed El{-}Horbaty.},
title={Towards Developing a Metaverse Authentication Model for Mobile Features},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2023},
pages={691-697},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012039000003467},
isbn={978-989-758-648-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Towards Developing a Metaverse Authentication Model for Mobile Features
SN - 978-989-758-648-4
IS - 2184-4992
AU - Ibrahim, I.
AU - Morsey, M.
AU - Mahmoud, A.
AU - El-Horbaty, E.
PY - 2023
SP - 691
EP - 697
DO - 10.5220/0012039000003467
PB - SciTePress

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