Securing healthcare data in industrial cyber-physical systems using combining deep learning and blockchain technology

Author:

Mohammed Mazin AbedORCID,Lakhan Abdullah,Zebari Dilovan AsaadORCID,Ghani Mohd Khanapi Abd,Marhoon Haydar Abdulameer,Abdulkareem Karrar Hameed,Nedoma Jan,Martinek RadekORCID

Funder

Ministerstvo Školství, Mládeže a Tělovýchovy

VSB–Technical University of Ostrava

European Commission

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference35 articles.

1. Mobility-aware task scheduling in cloud-fog IoT-based healthcare architectures;Abdelmoneem;Comput. Netw.,2020

2. Security perspective analysis of industrial cyber physical systems (I-CPS): A decade-wide survey;Agrawal;ISA Trans.,2022

3. A lightweight hybrid deep learning privacy preserving model for FC-based industrial internet of medical things;Almaiah;Sensors,2022

4. Supporting farming smart documentation system by modular blockchain solutions;Arsyad;Decis. Mak. Appl. Manag. Eng.,2022

5. A decoupled blockchain approach for edge-envisioned IoT-based healthcare monitoring;Aujla;IEEE J. Sel. Areas Commun.,2020

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