A Strong ECC Based on Secure Authentication with Privacy for IoT Concepts: Using Fuzzy Extractor

Sebbah Abderrezzak and Kadri Benamar
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Sebbah Abderrezzak: University of Abou Bekr Belkaid, Tlemcen, Algeria
Kadri Benamar: University of Abou Bekr Belkaid, Algeria

International Journal of Technology Diffusion (IJTD), 2022, vol. 13, issue 1, 1-22

Abstract: The internet of things offers a rich set of options and applications in different fields, such as smart home, agriculture, security, transportation, and health issues. The IoT aims at organizing the interactions between items that are both sensors and actuators, known as objects. These objects acquire new applications in our lives that facilitate the remote control of smart devices via the open channel. However, this makes the sensitive transmitted data easily reachable and vulnerable to many attacks. With this in mind, security and privacy become an essential requirement that precedes the deployment of any IoT network. In this paper, the authors provide an IoT authentication and key agreement scheme using ECC and a fuzzy extractor and then they use BAN logic model and AVISPA tool to demonstrate the security of the scheme. They show that the proposed scheme is resistant to various attacks. Furthermore, the security analysis of the proposed scheme and its comparison with some other related works have shown that the proposed scheme is both more efficient and more secure than the other ones.

Date: 2022
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