Abstract
When the Internet and other interconnected networks are used in a health system, it is referred to as “e-Health.” In this paper, we examined research studies from 2017–2020 to explore the utilization of intelligent techniques in health and its evolution over time, particularly the integration of Internet of Things (IoT) devices and cloud computing. E-Health is defined as “the ability to seek, find, understand and appraise health information derived from electronic sources and acquired knowledge to properly solve or treat health problems. As a repository for health information as well as e-Health analysis, the Internet has the potential to protect consumers from harm and empower them to participate fully in informed health-related decision-making. Most importantly, high levels of e-Health integration mitigate the risk of encountering unreliable information on the Internet. Various research perspectives related to security and privacy within IoT-cloud-based e-Health systems are examined, with an emphasis on the opportunities, benefits and challenges of the implementation such systems. The combination of IoT-based e-Health systems integrated with intelligent systems such as cloud computing that provide smart objectives and applications is a promising future trend.
Highlights
We summarize the various contributions related to the privacy and security of Internet of Things (IoT)-cloud-based e-Health systems published in academic books and journals between 2017–2020
Addressed issues relating to how data privacy protection can conform to General Data Protection Regulation (GDPR) guidelines. They pointed out reusable elements for the systematic design of privacy characterize a user-friendly information system and used privacy by design (PbD) and GDPR to provide solutions focused on remote health systems and mobile health applications
We explored the utilization of computers in health systems and its evolution over time, the integration of the IoT devices and cloud computing
Summary
Technological changes have allowed advanced solutions to be implemented to enhance the quality of human life. Shewale et al [6] proposed IoT-based body sensor network technology utilizing lightweight wireless sensor nodes with IoT built-in to sending and receiving data via cloud computing They consider privacy and security protocols to secure the healthcare system and ensure patient data remains confidential. Nandyala and Kim [11] examined IoT-cloud technologies in the form of embedded devices, sensors, and actuators to generate big data, compute it, and provide storage for it using cloud computing They showed how data can be analyzed and shared in real-time using network-connected IoT devices and cloud computing resources to implement healthcare monitoring systems in homes, hospitals, and other locations. Devising a secure technique for IoT-cloud-based e-Health systems can overcome this threat to patients, physicians, and other stakeholders
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