A Review of Security Protocols in mHealth Wireless Body Area Networks (WBAN)

Kang, James Jin; Adibi, Sasan

doi:10.1007/978-3-319-19210-9_5

Cited by 32 publications

(14 citation statements)

References 14 publications

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“…E.Authentication: Authentication is the process or action of verifying the identity of a user or process.In order to identify legitimate nodes between mHealth devices in mHealth systems, there is a process required to identify whether the received data is coming from authentic nodes [27]. Some processes include using passwords and biometrics (e.g.…”

Section: ) Security Requirementsmentioning

confidence: 99%

“…fingerprint, retina scan, voice recognition) to identify the user in order to gain access to mHealth devices. There are numerous types of security mechanisms such as digital signatures, digital certificates, or public key encryption that can provide the authentication process before transmitting healthcare data [27].…”

Section: ) Security Requirementsmentioning

confidence: 99%

“…Whereas authentication is the process of identifying legitimate nodes or users within a mHealth system, authorisation is required to allow users such as patients or healthcare professionals to access stored healthcare data to populate information required [27]. For example, patients sometimes may be allowed to gain access to their own Electronic Health Record (EHR) but only authorised healthcare professionals are allowed to modify healthcare data in the EHR.…”

Section: ) Security Requirementsmentioning

confidence: 99%

See 2 more Smart Citations

Developing a comprehensive information security framework for mHealth: a detailed analysis

Vithanwattana

Mapp

George

2017

J Reliable Intell Environ

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Section: ) Security Requirementsmentioning

confidence: 99%

Section: ) Security Requirementsmentioning

confidence: 99%

Section: ) Security Requirementsmentioning

confidence: 99%

See 1 more Smart Citation

Developing a comprehensive information security framework for mHealth: a detailed analysis

Vithanwattana

Mapp

George

2017

J Reliable Intell Environ

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“…Security aspects are therefore critical in dealing with health-related information such as privacy in wireless body area networks (WBAN), and has been included for review in this article despite extensive and comprehensive research having being completed by many researchers in network and information security in the health area [9][10][11]. During app implementation, development of algorithms and logics on the predictions for individual and generic data need to be considered as this is crucial to analyzing and producing meaningful and useful information.…”

Section: F(x) =mentioning

confidence: 99%

Systematic Predictive Analysis of Personalized Life Expectancy Using Smart Devices

Kang¹,

Adibi²

2018

Technologies

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With the emergence of technologies such as electronic health and mobile health (eHealth/mHealth), cloud computing, big data, and the Internet of Things (IoT), health related data are increasing and many applications such as smartphone apps and wearable devices that provide wellness and fitness tracking are entering the market. Some apps provide health related data such as sleep monitoring, heart rate measuring, and calorie expenditure collected and processed by the devices and servers in the cloud. These requirements can be extended to provide a personalized life expectancy (PLE) for the purpose of wellbeing and encouraging lifestyle improvement. No existing works provide this PLE information that is developed and customized for the individual. This article is based on the concurrent models and methodologies to calculate and predict life expectancy (LE) and proposes an idea of using multi-phased approaches to the solution as the project requires an immense and broad range of work to accomplish. As a result, the current prediction of LE, which was found to be up to a maximum of five years could potentially be extended to a lifetime prediction by utilizing generic health data. In this article, the novel idea of the solution proposing a PLE on an individual basis, which can be extended to lifetime is presented in addition to the existing works.

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“…By combining various data sources, it is possible to determine a situation or activity as physiological data are related to each other. When a user is running, for instance, the heart rate increases, body temperature goes up [21] and respiration rate also rises, and this information can be read together.…”

Section: Activity Determinationmentioning

confidence: 99%

Application of an Emergency Alarm System for Physiological Sensors Utilizing Smart Devices

Kang

Larkin

2017

Technologies

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Since innovative smart devices and body sensors including wearables have become prevalent with health informatics such as in Mobile Health (mHealth), we proposed to infer sensed data in sensor nodes to reduce the battery power consumption and bandwidth usage in wireless body area networks. It is critical to raise an alarm when the user is in an urgent situation, which can be done by analysing the sensed data against the user's activity status utilizing accelerometer sensors. However, when the activity changes frequently, there may be an increase in false alarms, which increases sensing and transferring of data, resulting in higher resource consumption. To reduce and mitigate the problem, we propose verifying the alarm and sending a user feedback using a smart device or smartwatch application so that a user can respond to whether the alarm is true or false. This paper presents a user-feedback system for use in activity recognition to mitigate and improve possible false alarm situations, which will consequently result in helping sensors to reduce the frequency of transactions and transmissions in wireless body area networks. As a contribution, the alarm determination can not only improve the accuracy of the alarm by utilising mobile app screen and speech recognition but can also reduce possible false alarms. It may also communicate with their physician in real-time who can assess the status with health data provided by the sensors.

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A Review of Security Protocols in mHealth Wireless Body Area Networks (WBAN)

Cited by 32 publications

References 14 publications

Developing a comprehensive information security framework for mHealth: a detailed analysis

Developing a comprehensive information security framework for mHealth: a detailed analysis

Systematic Predictive Analysis of Personalized Life Expectancy Using Smart Devices

Application of an Emergency Alarm System for Physiological Sensors Utilizing Smart Devices

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