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

Published:16 November 2020Publication History

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.

References

  1. Yiming Lin et al. 2021. LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization. In VLDB.Google ScholarGoogle Scholar
  2. Sharad Mehrotra et al. 2016. TIPPERS: A privacy cognizant IoT environment. In PerCom Workshops. 1--6.Google ScholarGoogle Scholar

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  1. A privacy-enabled platform for COVID-19 applications: poster abstract

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      • Published in

        cover image ACM Conferences
        SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
        November 2020
        852 pages
        ISBN:9781450375900
        DOI:10.1145/3384419

        Copyright © 2020 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 November 2020

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        Acceptance Rates

        Overall Acceptance Rate174of867submissions,20%

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