Visibility Region Exploitation for PHY Authentication in XL-MIMO Systems

Wireless networks are open to identity spoofing attacks because of their broadcast nature, emphasizing the need for strong security. Physical layer authentication (PLA) is a crucial strategy for securing wireless networks against such threats. Extra-large multiple-input multiple-output (XL-MIMO) technology, with its unique visibility region (VR) concept due to the near-field effect, offers a promising way to enhance network performance. This letter proposes a PLA approach using VR to create unique and robust signatures from the power and beamspace domain of XL-MIMO. Simulation results confirm the effectiveness of the proposed method in detecting attacks with high accuracy and low false alarm rates.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-10-28
DOI
https://doi.org/10.1109/lwc.2024.3486773
Citations
5
Primary Topic
Wireless Communication Security Techniques
Type
article
Field-Weighted Citation Impact
1.04
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article

Visibility Region Exploitation for PHY Authentication in XL-MIMO Systems

Hüseyin Arslan, Liza Afeef, Sema Demirci
5 citations
IEEE Wireless Communications Letters
Wireless Communication Security Techniques
1.04
article

Visibility Region Exploitation for PHY Authentication in XL-MIMO Systems

Hüseyin Arslan, Liza Afeef, Sema Demirci
article en
5 citations

Abstract

Wireless networks are open to identity spoofing attacks because of their broadcast nature, emphasizing the need for strong security. Physical layer authentication (PLA) is a crucial strategy for securing wireless networks against such threats. Extra-large multiple-input multiple-output (XL-MIMO) technology, with its unique visibility region (VR) concept due to the near-field effect, offers a promising way to enhance network performance. This letter proposes a PLA approach using VR to create unique and robust signatures from the power and beamspace domain of XL-MIMO. Simulation results confirm the effectiveness of the proposed method in detecting attacks with high accuracy and low false alarm rates.

IEEE Wireless Communications LettersVol. 14(1)
Istanbul Medipol University (TR)
Openalex Percentile: Top 23%
Wireless Communication Security Techniques
1.04
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