Towards Developing a Metaverse Authentication Model for Mobile Features

Ibrahim Ibrahim, Ibrahim Ibrahim, Mohammed Morsey, Abeer Mahmoud, El-Sayed El-Horbaty

2023

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.

Paper Citation

in Harvard Style

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, SciTePress, pages 691-697. DOI: 10.5220/0012039000003467

in Bibtex Style

@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},
}

in EndNote Style

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
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