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A Secure and Privacy-Preserving Paradism Based on Blockchain and Federated Learning for CIoMT in Smart Healthcare Systems

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Innovations in Smart Cities Applications Volume 7 (SCA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 906))

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Abstract

Since the advent of COVID-19 pandemic, the Cognitive Internet of Medical Things (CIoMT) has been highlighted as a critical need for the healthcare ecosystem, by enhancing operational efficiency and promoting preventive and proactive healthcare approaches through a remote patient monitoring, real-time health data collection and optimized supply chain management. Indeed, the CIoMT is a promising technology that refers to the application of cognitive computing techniques and the Internet of Things (IoT) in the field of e-health to enhance the delivery of healthcare services. However, challenges emerged in data privacy, service integrity, and adaptability to network structure in a such ecosystem since health data are highly private and have great financial values. To deal with these concerns, we propose in this paper a secure and trusted infrastructure based on Federated Learning and Blockchain technologies within a Fog Computing network. The adopted technologies have the potentials to overcome the issue of fragmented data repositories, by providing a distributed model for health data sharing while preserving the privacy of data owners within a trusted collaborative environment based on an Identity Federation paradigm.

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Author information

Authors and Affiliations

  1. ENSIAS, Mohamed V University in Rabat, Rabat, Morocco

    Samia El Haddouti & Mohamed Dafir Ech-Cherif El Kettani

  2. National Center for Scientific and Technical Research, Rabat, Morocco

    Samia El Haddouti

Authors
  1. Samia El Haddouti
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  2. Mohamed Dafir Ech-Cherif El Kettani
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Corresponding author

Correspondence to Samia El Haddouti .

Editor information

Editors and Affiliations

  1. Computer Science and Smart systems Laboratory, Faculty of Science and Techniques of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Computer Science and Smart systems Laboratory, Faculty of Science and Techniques of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

  3. École Spéciale des Travaux Publics, Paris, France

    Rani El Meouche

  4. Computer Engineering Department, Karabük University, Karabük, Türkiye

    İsmail Rakıp Karaș

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El Haddouti, S., Ech-Cherif El Kettani, M.D. (2024). A Secure and Privacy-Preserving Paradism Based on Blockchain and Federated Learning for CIoMT in Smart Healthcare Systems. In: Ben Ahmed, M., Boudhir, A.A., El Meouche, R., Karaș, İ.R. (eds) Innovations in Smart Cities Applications Volume 7. SCA 2023. Lecture Notes in Networks and Systems, vol 906. Springer, Cham. https://doi.org/10.1007/978-3-031-53824-7_41

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  • DOI: https://doi.org/10.1007/978-3-031-53824-7_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53823-0

  • Online ISBN: 978-3-031-53824-7

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