Book ChapterDOI
Big Data Security Intelligence for Healthcare Industry 4.0
Gunasekaran Manogaran,Chandu Thota,Daphne Lopez,Revathi Sundarasekar +3 more
- pp 103-126
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TLDR
This chapter proposes a secure Industrial Internet of Things (IoT) architecture to store and process scalable sensor data (big data) for health care applications using proposed Meta Cloud-Redirection (MC-R) architecture with big data knowledge system.Abstract:
Nowadays, sensors are playing a vital role in almost all applications such as environmental monitoring, transport, smart city applications and healthcare applications and so on. Especially, wearable medical devices with sensors are essential for gathering of rich information indicative of our physical and mental health. These sensors are continuously generating enormous data often called as Big Data. It is difficult to process and analyze the Big Data for finding valuable information. Thus effective and secure architecture is needed for organizations to process the big data in integrated industry 4.0. These sensors are continuously generating enormous data. Hence, it is difficult to process and analyze the valuable information. This chapter proposes a secure Industrial Internet of Things (IoT) architecture to store and process scalable sensor data (big data) for health care applications. Proposed Meta Cloud-Redirection (MC-R) architecture with big data knowledge system is used to collect and store the sensor data (big data) generated from different sensor devices. In the proposed system, sensor medical devices are fixed with the human body to collect clinical measures of the patient. Whenever the respiratory rate, heart rate, blood pressure, body temperature and blood sugar exceed its normal value then the devices send an alert message with clinical value to the doctor using a wireless network. The proposed system uses key management security mechanism to protect big data in industry 4.0.read more
Citations
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Journal ArticleDOI
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic.
TL;DR: Ten major technologies of Industry 4.0 can fulfil the requirements of customised face masks, gloves, and collect information for healthcare systems for proper controlling and treating of COVID-19 patients.
Journal ArticleDOI
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0
TL;DR: By selectively analyzing the literature, this paper systematically survey how the adoption of the above-mentioned Industry 4.0 technologies (and their integration) applied to the health domain is changing the way to provide traditional services and products.
Journal ArticleDOI
A hybrid model of Internet of Things and cloud computing to manage big data in health services applications
Mohamed Elhoseny,Ahmed Abdelaziz,Ahmed Salama,Ahmed Salama,Alaa Riad,Khan Muhammad,Arun Kumar Sangaiah +6 more
TL;DR: A new model to optimize virtual machines selection in cloud-IoT health services applications to efficiently manage a big amount of data in integrated industry 4.0 applications is proposed and outperforms on the state-of-the-art models in total execution time and the system efficiency.
Journal ArticleDOI
Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm
TL;DR: This paper uses dynamic time warping (DTW) algorithm to compare the various shapes of foot movements collected from the wearable IoT devices to evaluate the effectiveness of the DTW method for Alzheimer disease diagnosis.
Journal ArticleDOI
Big Data for Internet of Things: A Survey
TL;DR: This paper discusses the similarities and differences among Big Data technologies used in different IoT domains, suggests how certain Big Data technology used in one IoT domain can be re-used in another IoT domain, and develops a conceptual framework to outline the critical Big data technologies across all the reviewed IoT domains.
References
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Journal ArticleDOI
Potentiality of big data in the medical sector: focus on how to reshape the healthcare system.
Kyoungyoung Jee,Gang Hoon Kim +1 more
TL;DR: Whether the use of big data can effectively reduce healthcare concerns, such as the selection of appropriate treatment paths, improvement of healthcare systems, and so on is explored.
Journal ArticleDOI
A Review of Wireless Body Area Networks for Medical Applications
TL;DR: A WBAN infrastructure that provides solutions to on-demand, emergency, and normal traffic, and a need for new power-efficient solu-tions towards in-body and on-body sensor networks are presented.
BookDOI
Internet of Things (IoT) in 5G Mobile Technologies
TL;DR: This book reports on the latest advances in the modeling, analysis and efficient management of information in Internet of Things (IoT) applications in the context of 5G access technologies and presents the new framework possibilities offered by 5G mobile networks.
Journal ArticleDOI
Wireless Body Area Network (WBAN) Design Techniques and Performance Evaluation
TL;DR: This paper examines the WBAN design issues with particular emphasis on the design of MAC protocols and power consumption profiles of WBAN, and presentsWBAN design techniques for medical applications.
Book ChapterDOI
Big Data Knowledge System in Healthcare
Gunasekaran Manogaran,Chandu Thota,Daphne Lopez,V. Vijayakumar,Kaja Abbas,Revathi Sundarsekar +5 more
TL;DR: The chapter proposes a big data based knowledge management system to develop the clinical decisions and is developed based on variety of databases such as Electronic Health Record, Medical Imaging Data, Unstructured Clinical Notes and Genetic Data.