IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review

IoT has continued to evolve over the years with a promise to provide the users with effective means to interact, communicate, transact and create strong relationship. The invention and the development of IoT have created benefits for many businesses and individuals. However, as the IoT continues to evolve and develop, it has been subjected to certain threats and vulnerabilities. The common vulnerabilities notable in IoT include the security, privacy and data protection concerns. These issues have not been addressed by many scholars thus necessitated the need for this research study. Therefor the research study was concerned with the developed of a new IoT model that can enhance the security and privacy of the users of the IoT. The results indicate that the new model can be effective in addressing the needs of the IoT users. However, it noted that future research studies are still needed to improve the performance of the IoT security models.

Section: Population and Sample And Unit Of Analysismentioning

confidence: 99%

Improving IoT Privacy, Data Protection and Security Concerns

Lee

Ahmed²

2021

“…Developing solutions is made easier with these technologies in the sector. It is important to have highly effective means through which healthcare services can be delivered through engaging the effective technologies [49].…”

Section: Literature Reviewmentioning

confidence: 99%

The Growth of Internet of Things (IoT) In The Management of Healthcare Issues and Healthcare Policy Development

Radwan

Farouk²

2021

The internet of things is becoming a new sensation in the medical and healthcare field. Healthcare is one of the sustainable development areas across different regions. This study aims at developing an analysis of Internet of Things (IoT) in the healthcare sector for the purposes of achieving sustainable development. The study took a direction of applied descriptive research. The methodology applied was Fuzzy Analytical Hierarchy Process (FAHP). This is a single cross- section survey research. After data gathering, the agreed paired comparison matrices, allocated to weighted criteria and the priority of internet of things usage were determined. The two criteria, quality of life and economic prosperity had the highest priority for internet of things sustainable development in the healthcare system. Fall detection, dental health, and ultraviolet radiation wereamong the areas where IoT was found to be applied prominently.

“…Several studies have addressed the issues associated with the effective framework for the integration of IoT with blockchain to limit the emerging vulnerabilities in their operations. Accordingly, this study is focused on identifying the best convergence structure to integrate IoT with blockchain [49].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Convergence between Blockchain and the Internet of Things

Cruz

2021

The objective of this study was to determine the effectiveness of a particular convergencemodel for IoT and blockchain. Multiple regression model was selected to determine the effectiveof a specific convergence model. Three convergence models were selected for this study, includingthe hybrid approach, the IoT-blockchain approach, and the IoT-IoT approach. The findingsindicated that there are issues with convergence between two different technologies. The otherfinding was that the hybrid model provided the best convergence platform for integrating IoT withblockchain. Regarding the IoT and blockchain, convergence challenges included the limitedcapacity of IoT devices to handle the nature of distributed ledgers. The recommendation is that theaspects of traditional blockchain should be redesigned because of new requirements of IoT,including smart contracts, consensus protocol, data privacy, and security.