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Reliable resource allocation with RF fingerprinting authentication in secure IoT networks

  • Research Paper
  • Special Focus on Cyber Security in the Era of Artificial Intelligence
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Abstract

The unprecedented growth of the Internet of Things (IoT) has led to a huge amount of wireless resource consumption in a network. Due to limited wireless resources, a network can only guarantee the quality of service (QoS) of authenticated users rather than that of all users. By acknowledging this limitation, we realise that user authentication would be a big issue in IoT networks. Although traditional authentication methods can enhance network security to a certain extent, their vulnerability to malicious attacks and the relevant complicated computations restrict IoT deployments. In this paper, a radio frequency (RF) fingerprinting based authentication scheme is proposed under the architecture of convolutional neural network (CNN). It can effectively prevent unauthenticated users from consuming valuable wireless resources and significantly improve QoS performance for legitimate users. By solving an NP-hard optimization problem with the objective of minimizing efficient energy density, we demonstrate an approximate optimal resource allocation scheme in consideration of an RF-fingerprinting based authentication process. The analytic results show that our proposed scheme can dramatically reduce the efficient energy density compared with traditional cryptography based authentication schemes.

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Acknowledgements

This work was partially supported by Science and Technology Program of Sichuan Province (Grant No. 2021YFG0330), Intelligent Terminal Key Laboratory of SiChuan Province (Grant No. SCITLAB-0001), Fundamental Research Funds for the Central Universities (Grant No. ZYGX2019J076), National Natural Science Foundation of China (Grant No. 61971092), and Province Sichuan Foundation for Distinguished Young Scholars (Grant No. 2020JDJQ0023).

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Authors and Affiliations

  1. National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Weiwei Wu, Su Hu, Di Lin & Gang Wu

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  1. Weiwei Wu
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  2. Su Hu
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  3. Di Lin
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  4. Gang Wu
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Correspondence to Su Hu.

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Wu, W., Hu, S., Lin, D. et al. Reliable resource allocation with RF fingerprinting authentication in secure IoT networks. Sci. China Inf. Sci. 65, 170304 (2022). https://doi.org/10.1007/s11432-021-3284-y

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  • DOI: https://doi.org/10.1007/s11432-021-3284-y

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