IoMT : A Medical Resource Management System Using Edge Empowered Blockchain Federated Learning

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2023
Major/Subject
Mcode
Degree programme
Language
en
Pages
18
Series
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
Abstract
As data sharing on the Internet of Medical Things (IoMT) become more complicated, the problems of divergent interests, unregulated policies, privacy and security, and the resource constraints of data owners have drawn the attention of researchers. To address the problems, this paper provides resource management in the IoMT using a proposed edge-empowered blockchain federated learning system. Also, an improved linear regressor model is proposed as the global learning model for the federated learning system. Gradient parameters are encrypted using Paillier encryption on the federated server side before they are shared by the federated clients. Blockchain is deployed to provide new security features for IoMT and edge computing. Moreover, all transactions of IoMT and edge devices are stored on the blockchain for secure cataloguing and auditing. Edge computing is employed to handle complex computing tasks on behalf of IoMT devices. Extensive simulations are conducted to validate the efficacy of the proposed system model. The results show that computing costs are minimized while still achieving the benefits of security and privacy in the proposed system. Furthermore, security analysis shows that the proposed system is protected from security attacks.
Description
Publisher Copyright: IEEE
Keywords
Blockchain, Blockchains, Computational modeling, Data privacy, edge computing, Federated learning, federated learning, IoMT, Nash bargaining, Privacy, Resource management, Security
Other note
Citation
Muazu, T, Yingchi, M, Muhammad, A U, Ibrahim, M, Samuel, O & Tiwari, P 2023, ' IoMT : A Medical Resource Management System Using Edge Empowered Blockchain Federated Learning ', IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT . https://doi.org/10.1109/TNSM.2023.3308331