Hinge: An Environment-Varying Adaptive Physical-Layer Key Generation Scheme

On low-power, low-cost Internet of Things (IoT) edges, coarse-grained entropy source-based physical-layer key generation (PKG) is often used, which results in a very low bit generation rate (BGR). In this paper, a novel PKG scheme, Hinge, designed to adapt to varying environmental conditions is introduced to optimize the trade-off between the bit mismatch rate (BMR) and BGR using fine-grained entropy sources on IoT devices. Hinge predicts channel reciprocity levels from one side and dynamically adjusts the quantization strategy, maintaining a low BMR while maximizing BGR. Compared with existing PKG solutions on Bluetooth devices, Hinge yields significant improvements in BGR, with a comparable BMR. Through extensive experiments, Hinge showcases its potential for providing a secure and efficient key generation mechanism for IoT devices in complex real-world scenarios.

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Publication Details

Journal
IEEE Transactions on Information Forensics and Security
Published
2025-01-01
DOI
https://doi.org/10.1109/tifs.2025.3615510
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Hinge: An Environment-Varying Adaptive Physical-Layer Key Generation Scheme

Ziye Liu, Fan Dang, Xikai Sun, Lin Wang et al.
IEEE Transactions on Information Forensics and Security
DNA and Biological Computing
article

Hinge: An Environment-Varying Adaptive Physical-Layer Key Generation Scheme

Ziye Liu, Fan Dang, Xikai Sun, Lin Wang, Yunhao Liu, Yawen Zheng, zipeng yang
article en

Abstract

On low-power, low-cost Internet of Things (IoT) edges, coarse-grained entropy source-based physical-layer key generation (PKG) is often used, which results in a very low bit generation rate (BGR). In this paper, a novel PKG scheme, Hinge, designed to adapt to varying environmental conditions is introduced to optimize the trade-off between the bit mismatch rate (BMR) and BGR using fine-grained entropy sources on IoT devices. Hinge predicts channel reciprocity levels from one side and dynamically adjusts the quantization strategy, maintaining a low BMR while maximizing BGR. Compared with existing PKG solutions on Bluetooth devices, Hinge yields significant improvements in BGR, with a comparable BMR. Through extensive experiments, Hinge showcases its potential for providing a secure and efficient key generation mechanism for IoT devices in complex real-world scenarios.

IEEE Transactions on Information Forensics and SecurityVol. 20
Beijing Jiaotong University (CN), Yanshan University (CN), Tsinghua University (CN)
Openalex Percentile: Top 76%
DNA and Biological Computing
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