| Title |
Advancements in UWB: Paving the Way for Sovereign Data Networks in Healthcare Facilities |
| ID_Doc |
43301 |
| Authors |
Reaz, K; Ardoin, T; Muth, L; Margraf, M; Wunder, G; Kholghi, M; Jansen, K; Zenger, C; Schmidt, J; Köppe, E; Utkovski, Z; Bjelakovic, I; Schmieder, M; Dressel, O |
| Title |
Advancements in UWB: Paving the Way for Sovereign Data Networks in Healthcare Facilities |
| Year |
2024 |
| Published |
|
| DOI |
10.1145/3662004.3663554 |
| Abstract |
Ultra-Wideband (UWB) technology re-emerges as a ground-breaking ranging technology with its precise micro-location capabilities and robustness. This 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 deep 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. |
| Author Keywords |
UWB; Security; Localization; IoT; Smart City; Healthcare |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001253756000005 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
https://dl.acm.org/doi/pdf/10.1145/3662004.3663554
|