scholarly journals Provably Secure Crossdomain Multifactor Authentication Protocol for Wearable Health Monitoring Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Hui Zhang ◽  
Yuanyuan Qian ◽  
Qi Jiang
Keyword(s):  
Health Monitoring ◽  
Security Analysis ◽  
Wearable Devices ◽  
Authentication Protocol ◽  
Security And Privacy ◽  
Monitoring Systems ◽  
Multifactor Authentication ◽  
Health Monitoring Systems ◽  
Wearable Health Monitoring Systems ◽  
Provably Secure

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.

scholarly journals Multichannel ECG Recording from Waist using Textile Sensors

2020 ◽  
Author(s):  
Milad Alizadeh Meghrazi ◽  
Yupeng Tian ◽  
Amin Mahnam ◽  
Presish Bhattachan ◽  
Ladan Eskandarian ◽  
...  
Keyword(s):  
Sensor Fusion ◽  
Health Monitoring ◽  
Probabilistic Approach ◽  
Wearable Devices ◽  
The Body ◽  
Monitoring Systems ◽  
Multiple Sensors ◽  
Non Invasive ◽  
Health Monitoring Systems ◽  
Wearable Health Monitoring Systems

Abstract Background: The development of wearable health monitoring systems is garnering substantial interest in research and technology due to their unique capabilities in continuous, real-time, and non-invasive tracking of the physiological states of the human body. Wearable devices provide insights into the performance and health of individuals. Despite recent advances in biosensors, most of the currently available wearable devices rely solely on a single sensor attached to the body, limiting the ability to obtain reliable bio-information. However, in engineering systems, sensor fusion, which is the optimal integration and processing of data from multiple sensors, has been a common theme. In recent years due to an increase in the availability and variety of different types of sensors, the possibility of achieving sensor fusion in wearable systems has become more attainable. Sensor fusion in multi-sensing systems results in a significant enhancement of information inference compared to that from systems with a sole sensor. One step towards the development of sensor fusion for wearable health monitoring systems is the accessibility to multiple reliable electrophysiological signals, which can be recorded continuously.Results: In this paper, we develop a textile-based multi-channel ECG band that has the ability to measure from multiple locations on the waist. As a proof of concept, we show that ECG signals can be reliably obtained from different locations on the waist where the shape of the QRS complex is comparable with that recorded from the chest using traditional gel electrodes. As well, we develop a probabilistic approach to detect R-Peaks from noisy textile data in different sitting, standing, and jogging statuses. We show that the performance of the proposed algorithm is significantly better than that based on Pan-Tompkins and optimal-threshold methods. Conclusion: This band can be easily integrated into garments such as underwear, bras or pants. We predict that the textile-based multi-channel ECG band can be considered as an effective wearable system which enables the development of sensor fusion methodology for pervasive and non-invasive health monitoring through continuous tracking of heart rate variability (HRV) from the waist.

Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems

2017 ◽  
Vol 64 (3) ◽  
pp. 621-628 ◽  
Author(s):  
Haik Kalantarian ◽  
Costas Sideris ◽  
Bobak Mortazavi ◽  
Nabil Alshurafa ◽  
Majid Sarrafzadeh
Keyword(s):  
Low Power ◽  
Health Monitoring ◽  
Computation Offloading ◽  
Monitoring Systems ◽  
Dynamic Computation ◽  
Health Monitoring Systems ◽  
Wearable Health Monitoring Systems

scholarly journals Fog-Driven Secure Authentication and Key Exchange Scheme for Wearable Health Monitoring System

2021 ◽  
Vol 2021 ◽  
pp. 1-14 ◽  
Author(s):  
Tsu-Yang Wu ◽  
Lei Yang ◽  
Qian Meng ◽  
Xinglan Guo ◽  
Chien-Ming Chen
Keyword(s):  
Health Monitoring ◽  
Formal Analysis ◽  
Fog Computing ◽  
Key Exchange ◽  
Monitoring Systems ◽  
Health Monitoring Systems ◽  
Wearable Health Monitoring Systems ◽  
Secure Authentication ◽  
Internet Of Things Technology ◽  
Smart Wearable

Smart wearable devices, as a popular mobile device, have a broad market. Smart wearable medical devices implemented in wearable health monitoring systems can monitor the data pertaining to a patient’s body and let the patient know their own physical condition. In addition, these data can be stored, analyzed, and processed in the cloud to effectively prevent diseases. As an Internet-of-things technology, fog computing can process, store, and control data around devices in real time. However, the distributed attributes of fog nodes make the monitored body data and medical reports at risk of privacy disclosure. In this paper, we propose a fog-driven secure authentication and key exchange scheme for wearable health monitoring systems. Furthermore, we conduct a formal analysis using the Real-Oracle-Random model, Burrows–Abadi–Needham logic, and ProVerif tools and an informal analysis to perform security verification. Finally, a performance comparison with other related schemes shows that the proposed scheme has the best advantages in terms of security, computing overhead, and communication cost.

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