KGPT: Wireless Key Generation Based on Power Tuning for Static Internet-of-Things

Xintao Huan, Kaitao Miao, Jiamin Liu, Changfan Wu, Wen Chen, Rui Pei, Han Hu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Plum Print visual indicator of research metrics
  • Captures
    • Readers: 1
  • Mentions
    • News Mentions: 1
see details

Abstract

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.

Original languageEnglish
Pages (from-to)2610-2619
Number of pages10
JournalIEEE Transactions on Industrial Informatics
Volume21
Issue number3
DOIs
Publication statusPublished - 2025

Keywords

  • Eavesdropping
  • Internet-of-Things (IoT)
  • static environment
  • wireless key generation

Fingerprint

Dive into the research topics of 'KGPT: Wireless Key Generation Based on Power Tuning for Static Internet-of-Things'. Together they form a unique fingerprint.

Cite this

Huan, X., Miao, K., Liu, J., Wu, C., Chen, W., Pei, R., & Hu, H. (2025). KGPT: Wireless Key Generation Based on Power Tuning for Static Internet-of-Things. IEEE Transactions on Industrial Informatics, 21(3), 2610-2619. https://doi.org/10.1109/TII.2024.3514119