A physical layer authentication mechanism for IoT devices

Li, Xinglu; Huang, Kaizhi; Wang, Shaoyu; Xu, Xiaoming

doi:10.23919/jcc.2021.00.014

Cited by 5 publications

(2 citation statements)

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“…Consequently, the transformative revolution that ubiquitous computing aims to bring about could be compromised by a lack of secure connectivity. Furthermore, the openness of wireless communication in ubiquitous computing leaves the network unprotected from malicious attacks that imitate legitimate user identities [ 8 ]. Therefore, a quick and efficient lightweight authentication method is required to identify unknown wireless transmitters and resolve security threats introduced by adversaries.…”

Section: Introductionmentioning

confidence: 99%

“…However, due to scattering and reflection, the CSI is difficult to predict and emulate. The wireless channel’s uniqueness in time and space lets it map different places with spatial and temporal environment characteristics [ 8 ]. In the context of channel-based authentication schemes, both RSS and CIR show unique spatial properties due to path loss and multi-path effects [ 57 ].…”

Section: Introductionmentioning

confidence: 99%

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Physical Layer Authentication in Wireless Networks-Based Machine Learning Approaches

Alhoraibi

Alghazzawi

Alhebshi

et al. 2023

Sensors

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The physical layer security of wireless networks is becoming increasingly important because of the rapid development of wireless communications and the increasing security threats. In addition, because of the open nature of the wireless channel, authentication is a critical issue in wireless communications. Physical layer authentication (PLA) is based on distinctive features to provide information-theory security and low complexity. However, although many researchers are interested in the PLA and how it might be used to improve wireless security, there is surprisingly little literature on the subject, with no systematic overview of the current state-of-the-art PLA and the main foundations involved. Therefore, this paper aims to determine and systematically compare existing studies in the physical layer authentication. This study showed whether machine learning approaches in physical layer authentication models increased wireless network security performance and demonstrated the latest techniques used in PLA. Moreover, it identified issues and suggested directions for future research. This study is valuable for researchers and security model developers interested in using machine learning (ML) and deep learning (DL) approaches for PLA in wireless communication systems in future research and designs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%