scholarly journals Security Framework for IoT Based Real-Time Health Applications

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 719
Author(s):  
Aamir Hussain ◽  
Tariq Ali ◽  
Faisal Althobiani ◽  
Umar Draz ◽  
Muhammad Irfan ◽  
...  

The amazing fusion of the internet of things (IoT) into traditional health monitoring systems has produced remarkable advances in the field of e-health. Different wireless body area network devices and sensors are providing real-time health monitoring services. As the number of IoT devices is rapidly booming, technological and security challenges are also rising day by day. The data generated from sensor-based devices need confidentiality, integrity, authenticity, and end-to-end security for safe communication over the public network. IoT-based health monitoring systems work in a layered manner, comprising a perception layer, a network layer, and an application layer. Each layer has some security, and privacy concerns that need to be addressed accordingly. A lot of research has been conducted to resolve these security issues in different domains of IoT. Several frameworks for the security of IoT-based e-health systems have also been developed. This paper introduces a security framework for real-time health monitoring systems to ensure data confidentiality, integrity, and authenticity by using two common IoT protocols, namely constrained application protocol (CoAP) and message query telemetry transports (MQTT). This security framework aims to defend sensor data against the security loopholes while it is continuously transmitting over the layers and uses hypertext transfer protocols (HTTPs) for this purpose. As a result, it shields from the breach with a very low ratio of risk. The methodology of this paper focuses on how the security framework of IoT-based real-time health systems is protected under the tiers of CoAP and HTTPs. CoAP works alongside HTTPs and is responsible for providing end-to-end security solutions.

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Hui Zhang ◽  
Yuanyuan Qian ◽  
Qi Jiang

Wearable health monitoring systems (WHMSs) have become the most effective and practical solutions to provide users with low-cost, noninvasive, long-term continuous health monitoring. Authentication is one of the key means to ensure physiological information security and privacy. Although numerous authentication protocols have been proposed, few of them cater to crossdomain WHMSs. In this paper, we present an efficient and provably secure crossdomain multifactor authentication protocol for WHMSs. First, we propose a ticket-based authentication model for multidomain WHMSs. Specifically, a mobile device of one domain can request a ticket from the cloud server of another domain with which wearable devices are registered and remotely access the wearable devices with the ticket. Secondly, we propose a crossdomain three-factor authentication scheme based on the above model. Only a doctor who can present all three factors can request a legitimate ticket and use it to access the wearable devices. Finally, a comprehensive security analysis of the proposed scheme is carried out. In particular, we give a provable security analysis in the random oracle model. The comparisons of security and efficiency with the related schemes demonstrate that the proposed scheme is secure and practical.


Author(s):  
Kumar R. ◽  
Ayshwarya B. ◽  
Muruganantham A. ◽  
Velmurugan R.

Dynamic observation of blood sugar levels is essential for patients diagnosed with diabetes mellitus in order to control the glycaemia. Inevitably, they must accomplish a capillary test three times per day and laboratory test once or twice per month. These regular methods make patients uncomfortable because patients have to prick their finger every time in order to measure the glucose concentration. Modern health monitoring systems rely on IoT. However, the number of advanced IoT-based continuous glucose monitoring systems is small and has several limitations. Here the authors study feasibility of invasive and continuous glucose monitoring system utilizing IoT-based approach. They designed an IoT-based system architecture from a sensor device to a back-end system for presenting real-time data in various forms to end-users. The results show that the system is able to achieve continuous glucose monitoring remotely in real time, and a high level of energy efficiency can be achieved by applying the nRF compound, power management, and energy harvesting unit altogether in the sensor units.


The world's older population needs social care, healthy life, and assistive living. The health consciousness, persons care are major challenges for both researchers and industry. Health monitoring systems afford alternatives to the traditional supervision of aged patients. To reduce admissions to hospital for treatment and the cost of recognized health care. To enable disease prevention and associated lifestyle changes. Therefore, the technology has to play a key role to achieve the aspiration. In order to achieve the real-time intensive care challenge of an individual's health, early interventions and identifying the health conditions are required. In this paperwork, it is proposed to have the knowledge as soon as it causes a heart attack, it is the first step to prevent heart attack or stroke. Usually the fixed health monitoring systems are available only when the patient is lying on the bed in the hospital. This project showcases the implementation of the heartbeat, respiration, blood pressure check, pulse rate, and temperature sensing interfaced to ESP8266. This system development is for the patient at home need to be monitored by family doctor in emergency. Here, the real time patient health information is updated onto the cloud continuously. The data is for further analysis and to monitor the status of health information is retrieved to home devices and to a family doctor in critical conditions. Thus, the system can run effectively and brings a cost-effective design and implementation of data acquisition and manipulation.


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