Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems

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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Wearable Health Monitoring Systems: An Overview of Design Research Areas

Annals of Information Systems - mHealth Ecosystems and Social Networks in Healthcare ◽

10.1007/978-3-319-23341-3_2 ◽

2016 ◽

pp. 17-27

Author(s):

Amine Boulemtafes ◽

Nadjib Badache

Keyword(s):

Health Monitoring ◽

Design Research ◽

Monitoring Systems ◽

Research Areas ◽

Health Monitoring Systems ◽

Wearable Health Monitoring Systems

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Provably Secure Crossdomain Multifactor Authentication Protocol for Wearable Health Monitoring Systems

Wireless Communications and Mobile Computing ◽

10.1155/2020/8818704 ◽

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.

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