Secure and lightweight privacy preserving Internet of things integration for remote patient monitoring

被引:11
|
作者
Ahmed, Mohammed Imtyaz [1 ]
Kannan, Govindaraj [1 ]
机构
[1] BS Abdur Rahman Crescent Inst Sci & Technol, ECE Dept, Chennai, India
关键词
Internet of Things; Healthcare; Biosensors; Security; Privacy; Remote patient monitoring; ATTRIBUTE-BASED-ENCRYPTION; OF-THE-ART; KEY AGREEMENT; SCHEME; SYSTEM; TRUST; MANAGEMENT; PROTOCOL; FUSION;
D O I
10.1016/j.jksuci.2021.07.016
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 present article throws light on advancement in ICTs. It is an evident that highly intelligent and smart IoT based use cases are possible with the advent in ICTs like Internet of Things, 5G Cellular Technology and Cyber-Physical Systems (CPS). For an instance, people spend considerable amount of their earning towards health in the present scenario. In view of this, there is high- impact-on society use case in Healthcare as IoT enables Ambient Assisted Living (AAL), Mobile Health (mHealth) and Electronic Health (eHealth). The conventional healthcare services are prone to delay, wastage of time and money, besides causing death of people. With intelligence and prediction capabilities of IoT, Remote Patient Monitoring (RPM) on regular basis (home/office/in-hospital), for those who deliberately need it, can be exploited to overcome challenges thrown by conventional healthcare units. IoT based RPM with wearable devices, sensor network and other digital infrastructure form an early warning system for impending emergencies that lead to severe health issues and even death of patients is left untreated or even treat-ment is delayed. It is proposed that a secure and privacy preserving IoT integration with healthcare units for realizing a reliable, available and secure RPM system at the conclusion. The proposed system provides secure RFID based authentication, end-to-end secure communications and privacy protection. The system includes MOTO 360 watch (biosensor | body sensor) with Android wearable OS, server with REST frame-work and a smart phone application to monitor and detect fall, blood pressure and heart rate. This moti-vating scenario is enriched with security and privacy. The empirical evaluation revealed that the proposed RPM has potential to help improve quality of life and healthcare services (c) 2021 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:6895 / 6908
页数:14
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