# Secure Monitoring System for IoT Healthcare Data in the Cloud
## 2 Related Work  
The field of medicine has offered numerous studies that use various technologies to detect harmful viruses and contagious diseases effectively. The development of an autonomous robust model, though, is still being investigated. This model will utilize all of the most well-known immersive technologies.  
The objective of the research by [PERSON] et al. [3] was to timely diagnose patients and provide the best possible care using medical technology, namely the \"COVID-19 Intelligent Diagnosis and Treatment Assistant Program (nCapp)\". Real-time communication is facilitated by computer cloud technology, which is a feature of nCapp. This study shows that when a suspicious sample is found, the diagnosis is automated, and nCapp then categorizesthe suspects based on how serious the problem is. The system is updated in real-time by nCapp, which also makes it a reliable resource for illnesses in the future.  
[PERSON] [4] has developed a framework for COVID-19 detection using information from a smartphone's onboard sensors, including cameras, microphones, temperature, and inertial sensors. Based on the gathered data, ML techniques are used to learn about and gain information about the disease symptoms. This is perhaps understandable given that the data generated by the smartphone sensors has already been successfully used in a number of distinct applications, and the suggested solution combines all of these applications into a single framework.  
[PERSON] [5] suggests a smart humidity monitoring system that takes into account the strong connection between humidity and infectious disease and suggests a method that may maintain a room's relative humidity while preventing the spread of infectious diseases. A sensor-based IoT module has been developed that monitors a room's relative humidity and provides the inhabitants with its status after considering the benefits of preserving humidity. Specifically, the sensor-based hardware module measures the air's relative humidity and provides the data to the user through the internet, whether they are in the same room as the user or not. The aforementioned module can also be set to maintain relative humidity levels in a room depending on the user's requirements. In order to maintain ideal humidity levels, the system also manages the room's air conditioning and humidifying equipment. Due to the significant danger of infectious disease outbreaks in hospitals, the designed module is an affordable option that can be very helpful. It can be used in homes, offices, and schools due to its inexpensive cost.  
In their study, [PERSON] et al. [6] try to identify a complete picture of changes in architectures, technologies, and challenges that will shape the 6G network. Their experimental results provide indications for further studies on 6G ecosystems.  
Furthermore, in a different study, [PERSON] et al. [7] suggested an all-in-one computer architecture framework. This framework for the Internet of Health Things (Fog-IoHT) apps is fog computing-based. Based on the findings of this study, the authors also suggest potential uses and difficulties in incorporating fog computing into IoT healthcare applications.