Title: Security framework for IoT and deep belief network-based healthcare system using blockchain technology

Authors: Senthil Murugan Nagarajan; Prathik Anandhan; V. Muthukumaran; K. Uma; U. Kumaran

Addresses: School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India ' Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India ' Department of Mathematics, School of Applied Sciences, REVA University, Bengaluru, India ' School of Advance Sciences, Vellore Institute of Technology, Vellore, India ' Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India

Abstract: Nowadays, the computerisation and information systems need very fast, easier and secure data analysis models. So, blockchain technology and deep learning concepts play important roles for data security and analysis in field of healthcare applications. Blockchain technology has optimal reliability in various sectors like healthcare, security, information management, smart home, etc. In this paper, blockchain technology is used for the healthcare system to provide a secure and reliable data transmission. Furthermore, IoT-based wearable devices are used to collect the data from the patients. Moreover, deep belief network (DBN) is proposed to classify the obtained data in order to predict the type of disease or problems of the patients. The experimental results shows that the proposed framework and classification model abruptly outperforms when compared with other existing techniques. The efficiency of the proposed framework is analysed based on the performance metrics like throughput and latency. The obtained loss ratio for the proposed model seems very less of 0.0126 when compared with other existing techniques like MLP, SVM, ANN, and CNN. The accuracy obtained for the proposed DBN classifier is above 95% for the increase in the number of patients.

Keywords: blockchain technology; healthcare system; internet of things; IoT; deep belief network; DBN; security.

DOI: 10.1504/IJEB.2022.124324

International Journal of Electronic Business, 2022 Vol.17 No.3, pp.226 - 243

Received: 16 Aug 2020
Accepted: 10 Nov 2020

Published online: 22 Jul 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article