A Secure IoT-Based Modern Healthcare System With Fault-Tolerant Decision Making Process

被引：79

作者：

Gope, Prosanta ^{[1
]}

Gheraibia, Youcef ^{[2
]}

Kabir, Sohag ^{[3
]}

Sikdar, Biplab ^{[4
]}

机构：

[1] Univ Sheffield, Dept Comp Sci, Sheffield S10 2TG, S Yorkshire, England

[2] Univ York, Dept Comp Sci, York YO10 5DD, N Yorkshire, England

[3] Univ Bradford, Dept Comp Sci, Bradford BD7 1DP, W Yorkshire, England

[4] Natl Univ Singapore, Singapore 119077, Singapore

来源：

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS | 2021年 / 25卷 / 03期

关键词：

Internet of Things; Medical services; Decision making; Monitoring; Authentication; Informatics; IoT; Healthcare; machine learning; fault tolerance; sensor fusion;

D O I：

10.1109/JBHI.2020.3007488

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The advent of Internet of Things (IoT) has escalated the information sharing among various smart devices by many folds, irrespective of their geographical locations. Recently, applications like e-healthcare monitoring has attracted wide attention from the research community, where both the security and the effectiveness of the system are greatly imperative. However, to the best of our knowledge none of the existing literature can accomplish both these objectives (e.g., existing systems are not secure against physical attacks). This paper addresses the shortcomings in existing IoT-based healthcare system. We propose an enhanced system by introducing a Physical Unclonable Function (PUF)-based authentication scheme and a data driven fault-tolerant decision-making scheme for designing an IoT-based modern healthcare system. Analyses show that our proposed scheme is more secure and efficient than existing systems. Hence, it will be useful in designing an advanced IoT-based healthcare system.

引用

页码：862 / 873

页数：12

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