Designing for practice-based context-awareness in ubiquitous e-health environments

Anya, Obinna; Tawfik, Hissam

doi:10.1016/j.compeleceng.2016.08.012

Cited by 15 publications

(4 citation statements)

References 20 publications

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“…The Healthcare 4.0 system is patient-driven, it utilizes a lots of IoT-based medical devices, including wearables, sensors, and smartphones, to monitor patients' real-time health status. This information can be captured by any personal computer or cell phone in real-time and securely matched with the cloud eHealth platform [14]. Regardless of the domain, IoT devices create data 24 hours a day, seven days a week, causing major performance challenges for the well-established cloud platform [15].…”

Section: A Fog Computing In Health-care Iot Systemsmentioning

confidence: 99%

Authenticated Key Agreement Scheme for Fog Computing in a Health-Care Environment

2023

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The application of the Internet of Things has been greatly expanded; meanwhile, real-time and efficient communication has become an important feature of the Internet of Things. However, the centralized characteristics of cloud computing cannot meet the needs of low latency and high computing efficiency. To solve these issues, we utilized fog computing which is a new distributed computing paradigm that extends cloud services to the edge of the network, with mobility and low latency. Nevertheless, fog computing also brings new security issues, especially identity authentication. Authentication and key exchange are significant challenges that need to be taken into consideration in fog computing. Therefore, in this research, we proposed the architecture of the mutual authentication key establishment scheme based on elliptic curve cryptography for fog computing. After mutual authentication, the cloud server can transfer the remaining verification work to fog nodes, and fog nodes will be responsible for authenticating the device and distributing the established session key, thereby reducing the computational cost of the cloud server. Moreover, to evaluate the security of the proposed scheme, we not only used the random oracle model and the extended Canetti-Krawczyk (eCK) threat model to conduct a detailed analysis, but also proved that the security of the proposed scheme is strong enough against several attacks. INDEX TERMSFog computing, key agreement, health-care environment, extended Canetti-Krawczyk adversary model. TZER-SHYONG CHEN (Member, IEEE) received the Ph.D. degree from the Department of Electrical Engineering (Computer Science), National Taiwan University, Taiwan, in 1996. He is currently the Department Chair of Information Management with Tunghai University, Taiwan. He served on an evaluation committee of the Institute of Electrical Engineering Taiwan. He has authored/coauthored over 80 refereed publications. His research interests include information security, cryptography, and network security. SHENG-DE WANG (Life Member, IEEE) received the B.S. degree from the National Tsing Hua University, Hsinchu, Taiwan, in 1980, and the M.S. and Ph.D. degrees in electrical engineering from the

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Section: A Fog Computing In Health-care Iot Systemsmentioning

confidence: 99%

Authenticated Key Agreement Scheme for Fog Computing in a Health-Care Environment

2023

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“…In the IoT era, also the healthcare industry has grown-up from 1.0 to 4.0 generation (Kumari et al , 2018). According to Anya and Tawfik (2017), a huge set of IoT based medical devices (such as wearables, sensors and smartphones) empowers the patient-driven healthcare 4.0 system to monitor the real time health status of patients. The potential areas where industry 4.0 plays an important role to provide health services to hospital, clinics and remote healthcare is known as telehealth (Farahani et al , 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

New perspectives from technology adoption in senior cohousing facilities

Angioni

Musso

2020

TQM

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PurposeThe purpose of this paper is to analyse the integration of industry 4.0 related technologies of telehealth within innovative housing models addressed to senior population, in order to facing the growing issue of a sustainable management of the population ageing.Design/methodology/approachA qualitative exploratory analysis of four case studies of senior cohousing facilities located in different countries was performed. The cases analysed were selected as pioneering cases in the adoption of innovative and economically sustainable organizational solutions.FindingsThe study made it possible to identify which are the common characters that successful experiences have highlighted. Although each facility needs to adapt to the social, cultural, demographic and economic context in which it is located, there are some recurring aspects, which have proved to be key success factors.Research limitations/implicationsThis research analyses only four cases. This suggests that the sample does not provide an exhaustive representation of the models adopted in this field. However, the study is an exploratory research and it can provide a basis for further analyses.Practical implicationsThis study provides valuable indications for the design and management of senior cohousing facilities, as regards the services to be offered, the network of services and facilities that can be complementary to the residences, the activities to be conducted and organized, the degree of involvement of the elderly in the planning of activities and services. With regard to the adoption of telehealth-related technologies, the study provides indications on which new technologies resulting from the industry 4.0 revolution are going to be adopted, that is, remote surveillance, remote diagnostics and the use of sensors and video. These technologies, thanks to the artificial intelligence, can detect anomalies and provide predictive analyses on the behaviour and health of the elderly.Originality/valueThe study made it possible to identify the key success factors for senior cohousing facilities regardless of the characteristics of the context in which they are located. In addition, it provides a first analysis of the potential of telehealth-related technological solutions, paving the way for further studies aimed at assessing how, thanks to new technologies, the level of economic sustainability of senior cohousing solutions can be improved.

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“…Here a large number of medical devices based on Internet of things (IOT), such as smart phones, smart watches, pacemaker and wearable or implanted sensors enhance the health monitoring system of patient in real era of time. The status of health of patient can be trace out by any computer or mobile phone and match it safely with cloud eHealth platform [13]. In this first layer of architecture patient data is captured by any of the smart phones, smart eyeglasses and smart-watches.…”

Section: Medical Device Integration Layer (Mdil)mentioning

confidence: 99%

Healthcare Informatics and Monitoring System based on Fog Computing

Kishor*,

Jeberson

2019

IJEAT

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Wireless sensor networks and internet of things are widely used in healthcare industry. In today’s scenario wearable sensors become very popular devices to monitor patients at high risk. Patients who are suffering from long lasting sickness visits hospital at multiple time for their regular check-up. Treatment from this kind of system increases the expenditure in overall for the patients. However, with recent technological innovation such as cloud and fog computing, with minimal expense on storage and computing facilities these problems are overcome. In this paper, we provide an analysis of fog computing role over cloud computing to monitor patient’s health to provide context aware services without delay to the end user when it required to patient and medical practitioner. Three layer architecture is proposed for real time domain data storage, processing and communication. This increase the capability of cloud computing with the integration to fog computing for current and future use application.

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Designing for practice-based context-awareness in ubiquitous e-health environments

Cited by 15 publications

References 20 publications

Authenticated Key Agreement Scheme for Fog Computing in a Health-Care Environment

Authenticated Key Agreement Scheme for Fog Computing in a Health-Care Environment

New perspectives from technology adoption in senior cohousing facilities

Healthcare Informatics and Monitoring System based on Fog Computing

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