Browsing by Author "Wafa Bouras"

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    IoMT-Enabled 5G for Patient Identification A Resilient Blockchain-Based Federated Learning Framework for Optimized and Secure Participant Selection
    (University of M'Sila, 2025-11-04) Wafa Bouras
    The Internet of Medical Things (IoMT) has revolutionized modern healthcare by enabling continuous monitoring and real-time data exchange among medical devices. However, the heterogeneity of data sources, limited computational resources, and increasing security threats pose significant challenges to the deployment of intelligent and privacy-preserving solutions. This thesis proposes an enhanced framework that integrates Federated Learning (FL) with lightweight blockchain consensus mechanisms to address key issues in participant selection and system robustness. A comparative study of existing participant selection methods is presented, followed by the design of a refined probabilistic model that balances optimization and privacy. Furthermore, we introduce a blockchain-assisted role assignment mechanism to improve transparency and trust among distributed participants. The proposed framework, BlockGuard-RD, is evaluated against various threat scenarios such as data poisoning, impersonation, and denial-of-service (DoS) attacks. Experimental results demonstrate the framework’s ability to enhance model accuracy, improve resource efficiency, and maintain high security standards within IoMT environments. Ultimately, this work contributes a robust and adaptive solution for secure, scalable, and privacy-aware machine learning in medical cyber-physical systems