Poster: Envisioning a UWB-based Local Human-Machine Interface

In this work, we present a secure Internet-of-Things framework enabled by UWB, which allows users to wirelessly interact with any public and home appliances in a more secure, seamless and efficient manner. we envision an ecosystem of appliances and mobile devices equipped with UWB transceivers, where the appliances are capable of imposing location-based access control in precise and configurable zones and ensuring security against eavesdropping and hijacking by malicious attackers. We propose a location-based access control algorithm that is robust against range spoofing. Further, we propose the network and application layer protocols that enable one generic user-end application to access the control interface of any appliances and adapt to context.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3697464
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Poster: Envisioning a UWB-based Local Human-Machine Interface

Haige Chen, Ashutosh Dhekne
Indoor and Outdoor Localization Technologies
article

Poster: Envisioning a UWB-based Local Human-Machine Interface

Haige Chen, Ashutosh Dhekne
article en

Abstract

In this work, we present a secure Internet-of-Things framework enabled by UWB, which allows users to wirelessly interact with any public and home appliances in a more secure, seamless and efficient manner. we envision an ecosystem of appliances and mobile devices equipped with UWB transceivers, where the appliances are capable of imposing location-based access control in precise and configurable zones and ensuring security against eavesdropping and hijacking by malicious attackers. We propose a location-based access control algorithm that is robust against range spoofing. Further, we propose the network and application layer protocols that enable one generic user-end application to access the control interface of any appliances and adapt to context.

Georgia Institute of Technology (US)
Openalex Percentile: Top 80%
Indoor and Outdoor Localization Technologies
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