Ghazal, T M, Dhasaratha, Chandramohan, Hasan, Mohammad Kamrul, Islam, Shayla, Khapre, Shailesh, Abdullah, Salwani, Alzahrani, Ahmed Ibrahim, Alalwan, Nasser, Vo, Nguyen and Akhtaruzzaman, Md (2024) Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things. CAAI Transactions on Intelligence Technology. ISSN 2468-2322
Full text not available from this repository. (Request a copy)Abstract
Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help healthcare providers decide about post‐COVID‐19 care and follow‐up where the data privacy is another severe concern. The authors investigate the applicability of a distributed reinforcement learning approach in a Federated Learning (FL) multi‐disciplinary reinforcement system and explores the potential benefits of incorporating Blockchain Technology (BT) in the distributed system. Intermediate dependency features and transactions are avoided by applying Blockchain‐enabled reinforcement FL for the post‐COVID‐19 patient data of IoMT applications. The proposed approach helps to improvise clinical monitoring and ensure secure communication and data privacy in a decentralised manner. The main objective is to improve the efficiency and scalability of the reinforcement FL process in a distributed environment while ensuring data privacy and security through BT for IoMT applications. Results show that proposed approach achieve comparatively high reliability and outperforms the existing approaches.
Affiliation: | Skyline University College |
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SUC Author(s): | Ghazal, T M ORCID: https://orcid.org/0000-0003-0672-7924 |
All Author(s): | Ghazal, T M, Dhasaratha, Chandramohan, Hasan, Mohammad Kamrul, Islam, Shayla, Khapre, Shailesh, Abdullah, Salwani, Alzahrani, Ahmed Ibrahim, Alalwan, Nasser, Vo, Nguyen and Akhtaruzzaman, Md |
Item Type: | Article |
Uncontrolled Keywords: | artificial intelligence, bioinformatics, computational intelligence, data privacy, internet of things, machine learning |
Subjects: | B Information Technology > BL Machine Learning B Information Technology > BM Artificial Intelligence B Information Technology > BP Internet of Things |
Divisions: | Skyline University College > School of IT |
Depositing User: | Mr Mosys Team |
Date Deposited: | 25 Apr 2024 16:23 |
Last Modified: | 25 Apr 2024 16:23 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/860 |
Publisher URL: | https://doi.org/10.1049/cit2.12287 |
Publisher OA policy: | https://v2.sherpa.ac.uk/id/publication/39015 |
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