A privacy-enabled platform for COVID-19 applications: Poster abstract

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; Roberto Yus

doi:10.1145/3384419.3430594

A privacy-enabled platform for COVID-19 applications: Poster abstract

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
, Roberto Yus

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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.

Original language	English (US)
Title of host publication	SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
Publisher	Association for Computing Machinery, Inc
Pages	745-746
Number of pages	2
ISBN (Electronic)	9781450375900
DOIs	https://doi.org/10.1145/3384419.3430594
State	Published - Nov 16 2020
Externally published	Yes
Event	18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020 - Virtual, Online, Japan Duration: Nov 16 2020 → Nov 19 2020

Publication series

Name	SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference	18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020
Country/Territory	Japan
City	Virtual, Online
Period	11/16/20 → 11/19/20

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering
Computer Networks and Communications

Access to Document

10.1145/3384419.3430594

Cite this

August, M., Davison, C., Diallo, M., Ghosh, D., Gupta, P., Graves, C., Han, S., Holstrom, M., Khargonekar, P., Kline, M., Mehrotra, S., Sharma, S., Venkatasubramanian, N., Wang, G., & Yus, R. (2020). A privacy-enabled platform for COVID-19 applications: Poster abstract. In SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems (pp. 745-746). (SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems). Association for Computing Machinery, Inc. https://doi.org/10.1145/3384419.3430594

August, Michael ; Davison, Christopher ; Diallo, Mamadou et al. / A privacy-enabled platform for COVID-19 applications : Poster abstract. SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc, 2020. pp. 745-746 (SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems).

@inproceedings{1c384d09dfc1460881e4e1422f4ff581,

title = "A privacy-enabled platform for COVID-19 applications: Poster abstract",

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.",

author = "Michael August and Christopher Davison and Mamadou Diallo and Dhrubajyoti Ghosh and Peeyush Gupta and Christopher Graves and Shanshan Han and Michael Holstrom and Pramod Khargonekar and Megan Kline and Sharad Mehrotra and Shantanu Sharma and Nalini Venkatasubramanian and Guoxi Wang and Roberto Yus",

note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020 ; Conference date: 16-11-2020 Through 19-11-2020",

year = "2020",

month = nov,

day = "16",

doi = "10.1145/3384419.3430594",

language = "English (US)",

series = "SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems",

publisher = "Association for Computing Machinery, Inc",

pages = "745--746",

booktitle = "SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems",

}

August, M, Davison, C, Diallo, M, Ghosh, D, Gupta, P, Graves, C, Han, S, Holstrom, M, Khargonekar, P, Kline, M, Mehrotra, S, Sharma, S, Venkatasubramanian, N, Wang, G & Yus, R 2020, A privacy-enabled platform for COVID-19 applications: Poster abstract. in SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems. SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems, Association for Computing Machinery, Inc, pp. 745-746, 18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020, Virtual, Online, Japan, 11/16/20. https://doi.org/10.1145/3384419.3430594

A privacy-enabled platform for COVID-19 applications: Poster abstract. / August, Michael; Davison, Christopher; Diallo, Mamadou et al.
SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc, 2020. p. 745-746 (SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A privacy-enabled platform for COVID-19 applications

T2 - 18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020

AU - August, Michael

AU - Davison, Christopher

AU - Diallo, Mamadou

AU - Ghosh, Dhrubajyoti

AU - Gupta, Peeyush

AU - Graves, Christopher

AU - Han, Shanshan

AU - Holstrom, Michael

AU - Khargonekar, Pramod

AU - Kline, Megan

AU - Mehrotra, Sharad

AU - Sharma, Shantanu

AU - Venkatasubramanian, Nalini

AU - Wang, Guoxi

AU - Yus, Roberto

PY - 2020/11/16

Y1 - 2020/11/16

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85097553155

UR - https://www.scopus.com/pages/publications/85097553155#tab=citedBy

U2 - 10.1145/3384419.3430594

DO - 10.1145/3384419.3430594

M3 - Conference contribution

AN - SCOPUS:85097553155

T3 - SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems

SP - 745

EP - 746

BT - SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems

PB - Association for Computing Machinery, Inc

Y2 - 16 November 2020 through 19 November 2020

ER -

August M, Davison C, Diallo M, Ghosh D, Gupta P, Graves C et al. A privacy-enabled platform for COVID-19 applications: Poster abstract. In SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc. 2020. p. 745-746. (SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems). doi: 10.1145/3384419.3430594

A privacy-enabled platform for COVID-19 applications: Poster abstract

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