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A three factor based authentication scheme of 5G wireless sensor networks for IoT system
deptarment of CSE, Siksha 'O' Anusandhan University, Odisha, India.
Department of Computer Science and Engineering, National Institute of Technology Rourkela, India.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-6435-5738
School of Engineering and Science, Stevens Institute of Technology, Hoboken, USA.
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2023 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 10, no 17, p. 15087-15099Article in journal (Refereed) Published
Abstract [en]

Internet of Things (IoT) is an expanding technology that facilitate physical devices to inter-connect each other over a public channel. Moreover, the security of the next-generation wireless mobile communication technology, namely 5G with IoT, has been a field of much interest among researchers in the last several years. Previously, Sharif et al. had suggested an IoTbased lightweight three-party authentication scheme proclaiming a secured scheme against different threats. However, it was found that the scheme could not achieve user anonymity and guarantee session key security. Additionally, the scheme fails to provide proper authentication in the login phase, and it s unable to update a new password in the password change phase. Thus, we propose an improved three-factor-based data transmission authentication scheme (TDTAS) to address the weaknesses. The formal security analysis has been proved using the Real-or-Random (RoR) model. The informal security analysis demonstrates that the scheme is secure against several known attacks and achieves more security features. In addition, the comparison of the work with other related schemes demonstrates the proposed scheme has less communicational and storage costs.

Place, publisher, year, edition, pages
IEEE, 2023. Vol. 10, no 17, p. 15087-15099
Keywords [en]
5G, Authentication, Authentication, Biometric, Cryptography, Elliptic Curve Cryptography, Elliptic curve cryptography, Internet of Things, IoT, Passwords, RoR, Security, Wireless sensor networks
National Category
Computer Sciences Communication Systems
Identifiers
URN: urn:nbn:se:umu:diva-209289DOI: 10.1109/JIOT.2023.3264565ISI: 001075378800011Scopus ID: 2-s2.0-85159657229OAI: oai:DiVA.org:umu-209289DiVA, id: diva2:1764205
Funder
The Kempe Foundations, SMK21-0061Wallenberg AI, Autonomous Systems and Software Program (WASP)Knut and Alice Wallenberg FoundationAvailable from: 2023-06-08 Created: 2023-06-08 Last updated: 2025-04-24Bibliographically approved

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Sahoo, Kshira Sagar

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