TY - JOUR
T1 - KGPT
T2 - Wireless Key Generation Based on Power Tuning for Static Internet-of-Things
AU - Huan, Xintao
AU - Miao, Kaitao
AU - Liu, Jiamin
AU - Wu, Changfan
AU - Chen, Wen
AU - Pei, Rui
AU - Hu, Han
N1 - Publisher Copyright:
© 2024 IEEE. All rights reserved.
PY - 2025
Y1 - 2025
N2 - Wireless key generation is an emerging key sharing solution for Internet-of-Things (IoT) devices, which heavily relies on wireless signal fluctuations. However, most IoT devices have remained static ever since being deployed, where their stable wireless signals seriously deteriorate the effectiveness of key generation. In this article, we proposea new wireless Key Generation approach based on Power Tuning (KGPT) for statice IoT. Unlike the existing methods, KGPT does not require any additional helpers or any hardware modifications, thus, suiting practical static IoT deployments. We analyze the possibility of eavesdropping on the existing wireless key generation. We propose three power tuning strategies to generate wireless signal fluctuations for key generation in static IoT while defending against eavesdropping. In a static IoT scenario, we conduct experimental evaluations to first verify the eavesdropping on multi-antenna wireless key generation and then demonstrate the effectiveness of the proposed KGPT in producing sufficient signal fluctuations for key generation. Results show that KGPT can achieve a correlation value up to 0.97 for legitimate links while resisting the correlation of eavesdropping links down below 0.4.
AB - Wireless key generation is an emerging key sharing solution for Internet-of-Things (IoT) devices, which heavily relies on wireless signal fluctuations. However, most IoT devices have remained static ever since being deployed, where their stable wireless signals seriously deteriorate the effectiveness of key generation. In this article, we proposea new wireless Key Generation approach based on Power Tuning (KGPT) for statice IoT. Unlike the existing methods, KGPT does not require any additional helpers or any hardware modifications, thus, suiting practical static IoT deployments. We analyze the possibility of eavesdropping on the existing wireless key generation. We propose three power tuning strategies to generate wireless signal fluctuations for key generation in static IoT while defending against eavesdropping. In a static IoT scenario, we conduct experimental evaluations to first verify the eavesdropping on multi-antenna wireless key generation and then demonstrate the effectiveness of the proposed KGPT in producing sufficient signal fluctuations for key generation. Results show that KGPT can achieve a correlation value up to 0.97 for legitimate links while resisting the correlation of eavesdropping links down below 0.4.
KW - Eavesdropping
KW - Internet-of-Things (IoT)
KW - static environment
KW - wireless key generation
UR - http://www.scopus.com/inward/record.url?scp=85213514190&partnerID=8YFLogxK
U2 - 10.1109/TII.2024.3514119
DO - 10.1109/TII.2024.3514119
M3 - Article
AN - SCOPUS:85213514190
SN - 1551-3203
VL - 21
SP - 2610
EP - 2619
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 3
ER -