跳到主要导航 跳到搜索 跳到主要内容

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*
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • Donghua University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

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.

源语言英语
页(从-至)2610-2619
页数10
期刊IEEE Transactions on Industrial Informatics
卷21
期3
DOI
出版状态已出版 - 2025

学术指纹

探究 'KGPT: Wireless Key Generation Based on Power Tuning for Static Internet-of-Things' 的科研主题。它们共同构成独一无二的学术指纹。

引用此