A Privacy-Enabled Platform for COVID-19 Applications

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3384419.3430594.pdf (300.72 KB)
 A Privacy-Enabled Platform for COVID-19 Applications _ Roberto Yus.pdf (310.2 KB)

Links to Files

https://dl.acm.org/doi/10.1145/3384419.3430594
 https://robertoyus.com/publication/sensys-demo-2020/
 https://www.youtube.com/watch?v=bEXjw85rh-4&list=PL6jLuiS6wP5a5ugVZaZ2wNpH5e3jWyViU&index=6

Permanent Link

https://doi.org/10.1145/3384419.3430594
 http://hdl.handle.net/11603/24840

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UMBC Computer Science and Electrical Engineering Department

Author/Creator

Author/Creator ORCID

https://orcid.org/0000-0002-9311-954X

Date

2020-11-16

Type of Work

conference papers and proceedings
videorecordings
Text

Department

Program

Citation of Original Publication

Michael August, Christopher Davison, Mamadou Diallo, Dhrubajyoti Ghosh, Peeyush Gupta, Christopher Graves, Shanshan Han, Michael Holstrom, Pramod Khargonekar, Megan Kline, Sharad Mehrotra, Shantanu Sharma, Nalini Venkatasubramanian, Guoxi Wang, and Roberto Yus. 2020. A privacy-enabled platform for COVID-19 applications: poster abstract. Proceedings of the 18th Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, New York, NY, USA, 745–746. https://doi.org/10.1145/3384419.3430594

Rights

This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0

Subjects

Abstract

We present our experiences in adapting and deploying TIPPERS1, a novel privacy-enabled IoT data collection and management system for smart spaces, to facilitate the monitoring of adherence to COVID-19 regulations in a university campus and a military facility.