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Wireless Mobile Communication and Healthcare. 10th EAI International Conference, MobiHealth 2021, Virtual Event, November 13–14, 2021, Proceedings

Research Article

Security and Privacy Concerns for Healthcare Wearable Devices and Emerging Alternative Approaches

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  • @INPROCEEDINGS{10.1007/978-3-031-06368-8_2,
        author={Eleni Boumpa and Vasileios Tsoukas and Anargyros Gkogkidis and Georgios Spathoulas and Athanasios Kakarountas},
        title={Security and Privacy Concerns for Healthcare Wearable Devices and Emerging Alternative Approaches},
        proceedings={Wireless Mobile Communication and Healthcare. 10th EAI International Conference, MobiHealth 2021, Virtual Event, November 13--14, 2021, Proceedings},
        proceedings_a={MOBIHEALTH},
        year={2022},
        month={6},
        keywords={Privacy Security Wearable devices Healthcare},
        doi={10.1007/978-3-031-06368-8_2}
    }
    
  • Eleni Boumpa
    Vasileios Tsoukas
    Anargyros Gkogkidis
    Georgios Spathoulas
    Athanasios Kakarountas
    Year: 2022
    Security and Privacy Concerns for Healthcare Wearable Devices and Emerging Alternative Approaches
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-031-06368-8_2
Eleni Boumpa1,*, Vasileios Tsoukas1, Anargyros Gkogkidis1, Georgios Spathoulas2, Athanasios Kakarountas1
  • 1: Intelligent Systems Laboratory, Department of Computer Science and Biomedical Informatics
  • 2: Department of Information Security and Communication Technology
*Contact email: eboumpa@uth.gr

Abstract

The wide use of wearable devices rises a lot of concerns about the privacy and security of personal data that are collected and stored by such services. This concern is even higher when such data is produced by healthcare monitoring wearable devices and thus the impact of any data leakage is more significant. In this work a classification of the wearable devices used for healthcare monitoring is conducted, and the most prominent relevant privacy and security issues and concerns are presented. Furthermore, a brief review of alternative approaches that can eliminate most of such issues, including federated learning, homomorphic encryption, and tinyML, is presented. The aim of this work is to present the privacy and security concerns in healthcare monitoring wearable devices, as well as some solutions in hot topics about these issues.

Keywords
Privacy Security Wearable devices Healthcare
Published
2022-06-07
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-06368-8_2
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