Security Context Framework for Distributed Healthcare IoT Platform

Sangpetch, Orathai; Sangpetch, Akkarit

doi:10.1007/978-3-319-51234-1_11

Cited by 19 publications

(14 citation statements)

References 4 publications

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“…Based on the analysis results and the existing studies,[ 57 63 ] Figure 3 shows the interaction among several technologies adopted for smart chronic disease management, including IoT, big data, cloud computing, and fog computing, for a case where all of the four technologies were engaged. Sensors and IoT devices gather data from patients.…”

Section: Resultsmentioning

confidence: 99%

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Use of Internet of Things for Chronic Disease Management

Dadkhah¹,

Mehraeen²,

Rahimnia³

et al. 2021

Journal of Medical Signals &Amp; Sensors

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Most of the countries with elderly populations are currently facing with chronic diseases. In this regard, Internet of Things (IoT) technology offers promising tools for reducing the chronic disease burdens. Despite the presence of fruitful works on the use of IoT for chronic disease management in literature, these are rarely overviewed consistently. The present study provides an overview on the use of IoT for chronic disease management, followed by ranking different chronic diseases based on their priority for using IoT in the developing countries. For this purpose, a structural coding was used to provide a list of technologies adopted so far, and then latent Dirichlet allocation algorithm was applied to find major topics in literature. In order to rank chronic diseases based on their priority for using IoT, a list of common categories of chronic diseases was subjected to fuzzy analytic hierarchy process. The research findings include lists of IoT technologies for chronic disease management and the most-discussed chronic diseases. In addition, with the help of text mining, a total of 18 major topics were extracted from the relevant pieces of literature. The results indicated that the cardiovascular disease and to a slightly lesser extent, diabetes mellitus are of the highest priorities for using IoT in the context of developing countries.

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Section: Resultsmentioning

confidence: 99%

“… A brief picture of the literature on the use of Internet of Things for chronic disease management in terms of patient monitoring (some parts adapted[ 1 6 10 57 63 ]) …”

Section: Resultsmentioning

confidence: 99%

Use of Internet of Things for Chronic Disease Management

Dadkhah¹,

Mehraeen²,

Rahimnia³

et al. 2021

Journal of Medical Signals &Amp; Sensors

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“…[17] divides telemedicine security threats into seven specific areas, where each threat area represents a point where threat actors can compromise assets through common vulnerabilities -resulting in multiple risks for telehealth care systems. [18] states that the healthcare sector is more vulnerable of attacks due to the high value of data being processed. This is supported by [14] who found threats towards IoMT devices to be much higher when health data was processed.…”

Section: Threats and Vulnerabilitiesmentioning

confidence: 99%

Information Security Risk for Welfare Technology and Personal Healthcare Devices

Skjelvik

Yang²

2022

Studies in Health Technology and Informatics

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Welfare technology is expected to become a larger and more important part of the healthcare sector. This creates a need to understand, which information security risks welfare technology and affiliated devices are exposed to. In a scoping review, we present an extensive overview of relevant threats. Furthermore, some key vulnerabilities in health technologies like IoMTs and welfare technology devices are highlighted. In the conclusions, the risks relevant for welfare technology is discussed, where four top risks are emphasized as a result of the findings.

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“…Vanickis et al (2018) have proposed an access control policy enforcement framework using Zero Trust for IoT security. Sangpetch and Sangpetch (2016) have provided an IoT security framework to achieve accountability and track information propagation in IoT networks. Novo (2018) has proposed a blockchain-based access control and authorization system for IoT devices.…”

Section: A Framework For Iot Security Implementation Using Zero Trustmentioning

confidence: 99%