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Blockchain-assisted secured data management framework for health information analysis based on Internet of Medical Things

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A Correction to this article was published on 20 August 2021

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Abstract

The Internet of Medical Things (IoMT) is a kind of associated smart-medical device infrastructure with applications, health services, and systems. These medical devices and applications are linked via the Internet to healthcare systems. The privacy and security for patient data, scalability, and data accessibility are the most complex IoT challenges (particularly in IoMT) and need to be considered. Blockchain can disrupt the current modes of patient data access, exchange, accumulation, control, and contribution. Hence, in this study, blockchain-assisted secure data management framework (BSDMF) has been suggested for health information based on the Internet of Medical Things to securely exchange patient data and enhance scalability and data accessibility healthcare environment. The proposed BSDMF provides secure data management between personal servers and implantable medical devices and between cloud servers and personal servers. The IoMT-based security framework utilizes blockchain to guarantee data transmission security and data management between linked nodes. The experimental results show that the suggested BSDMF method achieves a high accuracy ratio of 97.2%, a precision ratio of 97.9%, an average trust value of 98.3%, and less response time of 11.2%, and a latency ratio of 15.6% when compared to other popular methods.

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Acknowledgements

Taif University Researchers Supporting Project number (TURSP-2020/36), Taif University, Taif, Saudi Arabia.

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Authors and Affiliations

  1. Faculty of Information Technology, University of Central Punjab, Lahore, Pakistan

    Asad Abbas

  2. Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia

    Roobaea Alroobaea

  3. Faculty of CSIT, Al-Baha University, Al Bahah, Saudi Arabia

    Moez Krichen

  4. ReDCAD Laboratory, University of Sfax, Sfax, Tunisia

    Moez Krichen

  5. Department of Mechanical and Materials Engineering, University of Jeddah, Jeddah, Saudi Arabia

    Saeed Rubaiee

  6. Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam, Tamilnadu, India

    S. Vimal

  7. Department of Computer Science, College of Sciences and Arts in Rass, Qassim University, Buraydah, 51452, Saudi Arabia

    Fahad M. Almansour

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  1. Asad Abbas
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  2. Roobaea Alroobaea
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Correspondence to Roobaea Alroobaea.

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Dr.S.Vimal Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam Tamilnadu, India

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Abbas, A., Alroobaea, R., Krichen, M. et al. Blockchain-assisted secured data management framework for health information analysis based on Internet of Medical Things. Pers Ubiquit Comput 28, 59–72 (2024). https://doi.org/10.1007/s00779-021-01583-8

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  • DOI: https://doi.org/10.1007/s00779-021-01583-8

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