Sakraoui, Sabrina and Derdour, Makhlouf and Ahmim, Ahmed and Almukhlifi, Reham and Ahmim, Marwa and Ullah, Insaf (2025) TL2AB : Trusted lightweight authentication using AI and blockchain for 6G networks. Internet of Things, 33. p. 101661. DOI https://doi.org/10.1016/j.iot.2025.101661
Sakraoui, Sabrina and Derdour, Makhlouf and Ahmim, Ahmed and Almukhlifi, Reham and Ahmim, Marwa and Ullah, Insaf (2025) TL2AB : Trusted lightweight authentication using AI and blockchain for 6G networks. Internet of Things, 33. p. 101661. DOI https://doi.org/10.1016/j.iot.2025.101661
Sakraoui, Sabrina and Derdour, Makhlouf and Ahmim, Ahmed and Almukhlifi, Reham and Ahmim, Marwa and Ullah, Insaf (2025) TL2AB : Trusted lightweight authentication using AI and blockchain for 6G networks. Internet of Things, 33. p. 101661. DOI https://doi.org/10.1016/j.iot.2025.101661
Abstract
The upcoming era of Sixth-Generation technology brings about special opportunities and challenges with respect to cybersecurity, especially regarding secure authentication mechanisms. This paper introduces TL2AB, a trusted lightweight authentication framework using artificial intelligence and blockchain technology. The proposed solution addresses critical security and privacy issues related to 6G applications, particularly in sensitive sectors such as healthcare and IoT. TL2AB enhances security in communication by introducing a new three-factor authentication scheme while allowing users to access rapidly and efficiently. TL2AB not only meets the high demands of 6G networks but also creates a robust foundation for future research in secure authentication frameworks.
Item Type: | Article |
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Subjects: | Z Bibliography. Library Science. Information Resources > ZR Rights Retention |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 27 Jun 2025 14:39 |
Last Modified: | 01 Jul 2025 08:08 |
URI: | http://repository.essex.ac.uk/id/eprint/41188 |
Available files
Filename: Accepted Version.pdf
Licence: Creative Commons: Attribution 4.0