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.
Authors
- Ziye Liu (ORCID: https://orcid.org/0000-0002-2936-8402)
- Fan Dang (ORCID: https://orcid.org/0000-0002-9949-6987)
- Xikai Sun (ORCID: https://orcid.org/0009-0008-9184-9750)
- Lin Wang (ORCID: https://orcid.org/0000-0002-7691-4672)
- Yunhao Liu (ORCID: https://orcid.org/0000-0001-8052-9200)
- Yawen Zheng (ORCID: https://orcid.org/0009-0005-4225-6965)
- zipeng yang
Institutions
- Beijing Jiaotong University (CN)
- Yanshan University (CN)
- Tsinghua University (CN)
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