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A secure and lightweight cloud-centric intelligent medical system based on Internet of Medical Things

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Abstract

Internet of Medical Things (IoMT) technology is widely used in intelligent medical treatment; however, massive mobile data transmission makes the cellular network overburden. The combination of medical Internet of Things technology and cloud storage can greatly improve this problem. Most of the existing medical Internet of Things systems cannot be adapted to the environment with limited resources after considering security and privacy, or after ensuring implementation efficiency, it will lead to reduced system security; that is, the mutual authentication function of the system is easily destroyed. The combination of medical Internet of Things technology and medical cloud storage technology can greatly improve the current smart medical environment. We propose an escrow-free identity-based scheme (EF-IDS) to ensure the function of mutual authentication between system entities, propose a secure lightweight cloud-centric smart medical system based on the medical Internet of Things based on EF-IDS and prove that our system ensures the privacy and security of users' personal health information. It also provides the ability to publicly verify the integrity of the data stored on the medical cloud server. Finally, the performance analysis shows that our proposed system has significant advantages in both communication overhead and computational cost.

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The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

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Authors and Affiliations

  1. School of Information and Control Engineering, Xi’an University of Architecture and Technology, No. 13, Middle Yanta Road, Xi’an, 710055, People’s Republic of China

    Tong Mu, Qiaochuan Ren, BiLin Shao, Genqing Bian & Jing Song

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  1. Tong Mu
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  2. Qiaochuan Ren
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  3. BiLin Shao
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  4. Genqing Bian
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  5. Jing Song
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Contributions

TM contributed to conceptualization, formal analysis, and writing—original draft preparation; TM and QR were involved in methodology and writing—review and editing; QR contributed to investigation; BS and GB were involved in resources; JS contributed to data curation; and BS and JS were involved in supervision. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Tong Mu.

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Mu, T., Ren, Q., Shao, B. et al. A secure and lightweight cloud-centric intelligent medical system based on Internet of Medical Things. J Supercomput 79, 18820–18848 (2023). https://doi.org/10.1007/s11227-023-05363-4

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