Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices

Dane Troyer, Justin Henry, Hoda Maleki, Gokila Dorai, Bethany Sumner, Gagan Agrawal, Jon Ingram

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Wearable devices are emerging as effective modalities for the collection of individuals' data. While this data can be leveraged for use in several areas ranging from health-care to crime investigation, storing and securely accessing such information while preserving privacy and detecting any tampering attempts are significant challenges. This paper describes a decentralized system that ensures an individual's privacy, maintains an immutable log of any data access, and provides decentralized access control management. Our proposed framework uses a custom permissioned blockchain protocol to securely log data transactions from wearable devices in the blockchain ledger. We have implemented a proof-of-concept for our framework, and our preliminary evaluation is summarized to demonstrate our proposed framework's capabilities. We have also discussed various application scenarios of our privacy-preserving model using blockchain and proof-of-authority. Our research aims to detect data tampering attempts in data sharing scenarios using a thorough transaction log model.

    Original languageEnglish (US)
    Title of host publicationProceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
    EditorsYixin Chen, Heiko Ludwig, Yicheng Tu, Usama Fayyad, Xingquan Zhu, Xiaohua Tony Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2583-2592
    Number of pages10
    ISBN (Electronic)9781665439022
    DOIs
    StatePublished - 2021
    Event2021 IEEE International Conference on Big Data, Big Data 2021 - Virtual, Online, United States
    Duration: Dec 15 2021Dec 18 2021

    Publication series

    NameProceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

    Conference

    Conference2021 IEEE International Conference on Big Data, Big Data 2021
    Country/TerritoryUnited States
    CityVirtual, Online
    Period12/15/2112/18/21

    Keywords

    • Blockchain
    • Health data sharing
    • Privacy
    • Security
    • Wearable Device

    ASJC Scopus subject areas

    • Information Systems and Management
    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Information Systems

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