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Article | Open Access

Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications

Ibraheem Al-Hejri1Farag Azzedin1( )Sultan Almuhammadi1Naeem Firdous Syed2
Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia
Center for Cyber Resilience and Trust (CREST), Deakin University, Geelong, 3220, Australia
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Abstract

The use of the Internet of Things (IoT) is expanding at an unprecedented scale in many critical applications due to the ability to interconnect and utilize a plethora of wide range of devices. In critical infrastructure domains like oil and gas supply, intelligent transportation, power grids, and autonomous agriculture, it is essential to guarantee the confidentiality, integrity, and authenticity of data collected and exchanged. However, the limited resources coupled with the heterogeneity of IoT devices make it inefficient or sometimes infeasible to achieve secure data transmission using traditional cryptographic techniques. Consequently, designing a lightweight secure data transmission scheme is becoming essential. In this article, we propose lightweight secure data transmission (LSDT) scheme for IoT environments. LSDT consists of three phases and utilizes an effective combination of symmetric keys and the Elliptic Curve Menezes-Qu-Vanstone asymmetric key agreement protocol. We design the simulation environment and experiments to evaluate the performance of the LSDT scheme in terms of communication and computation costs. Security and performance analysis indicates that the LSDT scheme is secure, suitable for IoT applications, and performs better in comparison to other related security schemes.

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Computers, Materials & Continua
Pages 4197-4218

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Cite this article:
Al-Hejri I, Azzedin F, Almuhammadi S, et al. Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications. Computers, Materials & Continua, 2024, 79(3): 4197-4218. https://doi.org/10.32604/cmc.2024.047117

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Received: 25 October 2023
Accepted: 06 December 2023
Published: 30 June 2024
© The Author 2024.

This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.