Secret Key Generation Driven by Attention-Based Convolutional Autoencoder and Quantile Quantization for IoT Security in 5G and Beyond

Secret Key Generation Driven by Attention-Based Convolutional Autoencoder and Quantile Quantization for IoT Security in 5G and Beyond

Physical-layer secret key generation (PSKG) has emerged as a promising technique for enhancing wireless security in Internet of Things (IoT) networks by exploiting the reciprocity of uplink and downlink channels. However, in time-division duplex (TDD) systems, hardware impairments and channel noise...

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Bibliographic Details
Main Authors: Anas Alashqar, Ehsan Olyaei Torshizi, Raed Mesleh, Werner Henkel
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Autoencoder
self-attention
CNN
deep learning
IoT security
channel reciprocity
Online Access:https://ieeexplore.ieee.org/document/11086605/
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