Abstract

Ultra-Wideband (UWB) technology re-emerges as a groundbreaking ranging technology with its precise microlocation capabilities and robustness. However, the security aspects of UWB technology demand thorough scrutiny due to its widespread use in both consumer and industrial sectors. This white paper highlights the security dimensions of UWB technology, focusing in particular on the intricacies of device fingerprinting for authentication, examined through the lens of state-of-the-art machine learning techniques. Furthermore, we explore various potential enhancements to the UWB standard that could realize a sovereign UWB data network. We argue that UWB data communication holds significant potential in healthcare and ultra-secure environments, where the use of the common unlicensed 2.4 GHz band-centric wireless technology is limited or prohibited. A sovereign UWB network could serve as an alternative, providing secure localization and short-range data communication in such environments.