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Open Access

New Enhanced Authentication Protocol for Internet of Things

IDMS Team, Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University, Errachidia 52000, Morocco.
Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterial, Water and Environment, CERNE2D, Faculty of Science, Mohammed V University in Rabat, Rabat 10000, Morocco.
Department of Computer Science and Mathematics, High School of Technology, Cadi Ayyad University, Marrakesh 40000, Morocco.
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Abstract

Internet of Things (IoT) refers to a new extended network that enables to any object to be linked to the Internet in order to exchange data and to be controlled remotely. Nowadays, due to its multiple advantages, the IoT is useful in many areas like environment, water monitoring, industry, public security, medicine, and so on. For covering all spaces and operating correctly, the IoT benefits from advantages of other recent technologies, like radio frequency identification, wireless sensor networks, big data, and mobile network. However, despite of the integration of various things in one network and the exchange of data among heterogeneous sources, the security of user’s data is a central question. For this reason, the authentication of interconnected objects is received as an interested importance. In 2012, Ye et al. suggested a new authentication and key exchanging protocol for Internet of things devices. However, we have proved that their protocol cannot resist to various attacks. In this paper, we propose an enhanced authentication protocol for IoT. Furthermore, we present the comparative results between our proposed scheme and other related ones.

Keywords

autheticationInternet of Things (IoT)sensorsecurityauthorization

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Big Data Mining and Analytics
Volume 4 Issue 1,
March 2021
Pages 1-9
DOI: 10.26599/BDMA.2020.9020010
Cite this article:
Azrour M, Mabrouki J, Guezzaz A, et al. New Enhanced Authentication Protocol for Internet of Things. Big Data Mining and Analytics, 2021, 4(1): 1-9. https://doi.org/10.26599/BDMA.2020.9020010

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Received: 08 June 2020
Accepted: 01 July 2020
Published: 12 January 2021
© The author(s) 2021

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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