Related references
Note: Only part of the references are listed.
Article
Computer Science, Information Systems
Hui Lin et al.
Summary: The traditional healthcare is facing challenges in processing and storing massive medical data. The emergence of Internet-of-Things (IoT) technologies provides an opportunity for the healthcare industry to transition into IoT-enabled healthcare with enhanced data storage and processing capabilities. However, privacy leakage and data tampering by unauthorized users pose significant risks in IoT-enabled healthcare. This article proposes an attribute-based secure access control mechanism, utilizing federated deep learning (FDL), to address these concerns and ensure accurate access control and enhanced privacy preservation.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Madhumita Kathuria et al.
Summary: Recent studies show that dynamic QoS is essential for handling health-related data in a PA-WBAN system. Two protocols have been proposed to improve reliable data transmission and optimize QoS in this dynamic environment. These protocols offer dynamic-priority assignment, fair resource allocation, queuing policies, and optimized packet transmission to enhance system performance.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Health Care Sciences & Services
Jordi de Batlle et al.
Summary: The study assessed the effectiveness and cost-effectiveness of a mobile health-enabled integrated care model for complex chronic patients, finding improvements in health status and significant reductions in unplanned visits and hospital admissions for integrated care patients. The program demonstrated cost savings and cost-effectiveness, supporting the implementation of integrated care pathways supported by mHealth.
JMIR MHEALTH AND UHEALTH
(2021)
Article
Chemistry, Analytical
Ankita Anand et al.
Summary: The role of 5G-IoT is essential in smart applications, especially in e-health. The proposed CNN-DMA deep learning model accurately detects malware attacks.
Article
Computer Science, Information Systems
Abhay Kumar Agrahari et al.
Summary: RFID technology is widely used in various medical sectors, raising security and privacy concerns. An elliptic curve based authentication protocol is proposed to secure healthcare data, providing mobility, scalability, security, and privacy.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2021)
Review
Mathematical & Computational Biology
Yiting Wang et al.
Summary: The rise of technology has led to an increase in early detection and involvement in health monitoring through home control, especially with the aging population. Home-based health monitoring is seen as essential in the development of smart homes, where patients can receive early treatment to prevent disease efficiently. The growth in medical infrastructure and computational approaches has empowered practitioners to devise novel solutions for improving healthcare.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
(2021)
Article
Computer Science, Information Systems
Haya Elayan et al.
Summary: The field of digital smart healthcare has rapidly advanced, with digital twin technology expected to revolutionize the concept of digital healthcare and improve operational efficiency. The implementation of an intelligent healthcare system using the digital twin framework successfully created a classifier model for ECG heart rhythms to diagnose heart disease and detect heart problems.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Construction & Building Technology
Mohd Shariq et al.
Summary: IoT plays a crucial role in healthcare applications, with RFID technology being widely used. During the COVID-19 pandemic, IoT-Health provides convenient remote medical services, but security and privacy risks exist due to the use of RFID technology.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Chemistry, Multidisciplinary
Shabir Hussain et al.
Summary: In response to the COVID-19 pandemic, a team proposed an IoT-based Smart Screening and Disinfection Walkthrough Gate (SSDWG) for all public places entrance to rapidly screen and record suspected individuals, with real-time deep learning models achieving high accuracy of 99.81% in face mask detection. The system also included classification for different types of face masks worn, showcasing potential in preventing local transmission and reducing the risk of human carriers of COVID-19.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Sarah Izza et al.
Summary: Nowadays, IoT-based E-healthcare is a rapidly growing field due to advancements in wireless technologies and cloud computing. However, data security and patient privacy are major concerns in Wireless Body Area Networks (WBANs). To address these issues, researchers have proposed an efficient and enhanced RFID authentication scheme for IoT that ensures mutual authentication and patient data security.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2021)
Article
Construction & Building Technology
Senthil Murugan Nagarajan et al.
Summary: In this study, a novel method integrating IoT and deep learning concepts for remote health monitoring and data analysis is proposed, which accumulates real-time healthcare data through cloud network architecture and analyzes it using deep learning algorithm on a medical platform. The proposed framework not only analyzes healthcare data but also provides immediate relief measures for patients in critical conditions.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Proceedings Paper
Telecommunications
Vasiliki Kelli et al.
Summary: IoT technology has been integrated into the healthcare industry, contributing to the development of smart hospitals and remote assistance environments. Ensuring the security of patient data against malicious attempts is a major challenge, requiring monitoring of the intelligent healthcare environment and limiting access. Additionally, implementing appropriate control measures for digital health records is crucial.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
(2021)
Review
Computer Science, Information Systems
Taher M. Ghazal et al.
Summary: Smart city is a concept that aims to make cities more efficient, technologically advanced, greener and socially inclusive. The focus is on using digital technologies to address challenges faced by urban society, with particular potential in the healthcare sector.
Article
Computer Science, Information Systems
Oussema Keskes et al.
Summary: This study focuses on fall detection and proposes a vision-based system using ST-GCN, which effectively addresses the issue of fall recognition. By validating with public datasets, it has achieved a high accuracy rate of 100%, surpassing the state-of-the-art methods.
Article
Chemistry, Analytical
Ankita Anand et al.
Summary: 5G-IoT plays an indispensable role in smart applications and is crucial in e-health applications. Intelligent schemes and architectures are required to overcome security threats against sensitive patient data in e-health applications. Deep learning techniques can detect security attacks, but this requires hybrid models for support.
Article
Engineering, Electrical & Electronic
Kai Fan et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2020)
Article
Computer Science, Information Systems
Jianfei Sun et al.
IEEE INTERNET OF THINGS JOURNAL
(2020)
Article
Computer Science, Information Systems
Kennedy Edemacu et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2020)
Article
Computer Science, Information Systems
Yuanyuan Sun et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2020)
Article
Automation & Control Systems
Sandip Roy et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2019)
Article
Computer Science, Information Systems
Jingwei Liu et al.
Article
Automation & Control Systems
Yang Yang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2018)
