Harvesting Physical-Layer Randomness in Millimeter Wave Bands

Ziqi Xu, Jingcheng Li, Yanjun Pan, Ming Li, Loukas Lazos

Research output: Contribution to journalArticlepeer-review

Abstract

The unpredictability of the wireless channel has been used as a natural source of randomness to build physical-layer security primitives for shared key generation, authentication, access control, proximity verification, and other security properties. Compared to pseudo-random generators, it has the potential to achieve information-theoretic security. In sub-6 GHz frequencies, the randomness is harvested from the small-scale fading effects of RF signal propagation in rich scattering environments. However, the RF propagation characteristics follow sparse models with clustered paths when devices operate in millimeter-wave (mmWave) bands (5G and Next-Generation networks, Wi-Fi in 60GHz). Millimeter-wave transmissions are typically directional to increase the gain and combat high signal attenuation, leading to stable and more predictable channels. In this paper, we first demonstrate that state-of-the-art methods relying on channel state information or received signal strength measurements fail to produce high randomness. Accounting for the unique features of mmWave propagation, we propose a novel randomness extraction mechanism that exploits the random timing of channel blockage to harvest random bits. Compared with the prior art in CSI-based and context-based randomness extraction, our protocol remains secure against passive and active Man-in-the-Middle adversaries co-located with the legitimate devices. We demonstrate the security properties of our method in a 28 GHz mmWave testbed in an indoor setting.

Original languageEnglish (US)
Pages (from-to)2285-2300
Number of pages16
JournalIEEE Transactions on Mobile Computing
Volume24
Issue number3
DOIs
StatePublished - 2025

Keywords

  • Randomness extraction
  • mmWave communications
  • physical-layer security
  • secure device bootstrapping

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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