Cloud-IIoT-Based Electronic Health Record Privacy-Preserving by CNN and Blockchain-Enabled Federated Learning

被引:93
作者
Alzubi, Jafar A. [1 ]
Alzubi, Omar A. [2 ]
Singh, Ashish [3 ]
Ramachandran, Manikandan [4 ]
机构
[1] Al Balqa Appl Univ, Fac Engn, Al Salt 19117, Jordan
[2] Al Balqa Appl Univ, Prince Abdullah Bin Ghazi Fac Informat & Commun T, Al Salt 19117, Jordan
[3] Kalinga Inst Ind Technol, Sch Comp Engn, Bhubaneswar 751024, India
[4] SASTRA Deemed Univ, Sch Comp, Thanjavur 613401, India
关键词
Medical services; Security; Data privacy; Data models; Blockchains; Convolutional neural networks; Collaborative work; Blockchain-enabled federated learning; cloud-Industrial Internet of Things (IIoT); convolutional neural network (CNN); healthcare industry; privacy preservation; INTERNET; SECURE;
D O I
10.1109/TII.2022.3189170
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Industrial cloud computing and Internet of Things have transformed the healthcare industry with the rapid growth of distributed healthcare data. Security and privacy of healthcare data are crucial challenges in the healthcare industry. This article proposes a novel technique using deep learning and blockchain techniques for electronic health record privacy-preservation. The processed dataset classified normal and abnormal users using the convolutional neural network approach. Then, by using blockchain integrated with a cryptography-based federated learning module, the abnormal users have been processed and removed from the database along with the accessibility for the health records. The simulation has been done in the Python tool and experimental results show that the model's classification results and performance are better than other existing techniques.
引用
收藏
页码:1080 / 1087
页数:8
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