SWeeT: Security Protocol for Wearables Embedded Devices’ Data Transmission

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HealthCom_2023.pdf (1.58 MB)

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https://ieeexplore.ieee.org/abstract/document/9982744

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https://doi.org/10.1109/HealthCom54947.2022.9982744
 http://hdl.handle.net/11603/26640

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UMBC Computer Science and Electrical Engineering Department

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Author/Creator ORCID

https://orcid.org/0000-0001-6831-8339
 https://orcid.org/0000-0003-3865-9217
 https://orcid.org/0000-0002-9911-5953
 https://orcid.org/0000-0002-5825-6637

Date

2022-12-21

Type of Work

conference papers and proceedings
postprints
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Citation of Original Publication

M. Ebrahimabadi, M. Younis, W. Lalouani, A. Alshaeri and N. Karimi, "SWeeT: Security Protocol for Wearables Embedded Devices’ Data Transmission," 2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2022, pp. 135-141, doi: 10.1109/HealthCom54947.2022.9982744.

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Abstract

Motivated by the quest for decreased healthcare costs and further fueled by the COVID pandemic, wearable devices have gained major attention in recent years. Yet, their secure usage and patients’ privacy continue to be concerning. To address these issues, the paper presents SWeeT, a novel lightweight protocol for allowing flexible and secure access to the collected data by multiple caregivers while sustaining the patient’s privacy. Particularly, SWeeT deploys Physically Unclonabale Functions (PUFs) to generate encryption keys to safeguard the patients’ data during transmission. The computation overhead is significantly reduced by applying very simple encryption operations while enabling frequent change of the keys to sustain robustness. SWeeT is shown to counter impersonation, Sybil, man-in-the-middle, and forgery attacks. SweeT is validated through experiments using implementation on an Artix7 FPGA and through formal security analysis.