Wavelet-Based CSI Reconstruction for Improved Wireless Security Through Channel Reciprocity

Fuente: arXiv
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Auteurs principaux: Basha, Nora, Hamdaoui, Bechir
Format: Preprint
Publié: 2025
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author Basha, Nora
Hamdaoui, Bechir
author_facet Basha, Nora
Hamdaoui, Bechir
contents The reciprocity of channel state information (CSI) collected by two devices communicating over a wireless channel has been leveraged to provide security solutions to resource-limited IoT devices. Despite the extensive research that has been done on this topic, much of the focus has been on theoretical and simulation analysis. However, these security solutions face key implementation challenges, mostly pertaining to limitations of IoT hardware and variations of channel conditions, limiting their practical adoption. To address this research gap, we revisit the channel reciprocity assumption from an experimental standpoint using resource-constrained devices. Our experimental study reveals a significant degradation in channel reciprocity for low-cost devices due to the varying channel conditions. Through experimental investigations, we first identify key practical causes for the degraded channel reciprocity. We then propose a new wavelet-based CSI reconstruction technique using wavelet coherence and time-lagged cross-correlation to construct CSI data that are consistent between the two participating devices, resulting in significant improvement in channel reciprocity. Additionally, we propose a secret-key generation scheme that exploits the wavelet-based CSI reconstruction, yielding significant increase in the key generation rates. Finally, we propose a technique that exploits CSI temporal variations to enhance device authentication resiliency through effective detection of replay attacks.
format Preprint
id arxiv_https___arxiv_org_abs_2504_08078
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Wavelet-Based CSI Reconstruction for Improved Wireless Security Through Channel Reciprocity
Basha, Nora
Hamdaoui, Bechir
Signal Processing
Networking and Internet Architecture
C.2.0; C.2.1
The reciprocity of channel state information (CSI) collected by two devices communicating over a wireless channel has been leveraged to provide security solutions to resource-limited IoT devices. Despite the extensive research that has been done on this topic, much of the focus has been on theoretical and simulation analysis. However, these security solutions face key implementation challenges, mostly pertaining to limitations of IoT hardware and variations of channel conditions, limiting their practical adoption. To address this research gap, we revisit the channel reciprocity assumption from an experimental standpoint using resource-constrained devices. Our experimental study reveals a significant degradation in channel reciprocity for low-cost devices due to the varying channel conditions. Through experimental investigations, we first identify key practical causes for the degraded channel reciprocity. We then propose a new wavelet-based CSI reconstruction technique using wavelet coherence and time-lagged cross-correlation to construct CSI data that are consistent between the two participating devices, resulting in significant improvement in channel reciprocity. Additionally, we propose a secret-key generation scheme that exploits the wavelet-based CSI reconstruction, yielding significant increase in the key generation rates. Finally, we propose a technique that exploits CSI temporal variations to enhance device authentication resiliency through effective detection of replay attacks.
title Wavelet-Based CSI Reconstruction for Improved Wireless Security Through Channel Reciprocity
topic Signal Processing
Networking and Internet Architecture
C.2.0; C.2.1
url https://arxiv.org/abs/2504.08078