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Development Of a Cloud Based Security Risk Assessment Framework for IoT-Based Health Care System: A Review
Subject area: Science,Engineering and Technology · Area of research: Cyber Security
DOI: https://doi.org/10.64388/IREV10I1-1720214
Abstract
The use of Internet of Things (IoT) technology in healthcare has changed how medical services are provided. IoT devices like wearable sensors, implantable tools, and smart diagnostic machines allow doctors to watch patients' health as it happens and help make better decisions about their care. These devices help doctors talk to patients from a distance and give them tailored care, which makes healthcare faster and better for patients. Even though there are many advantages, the way IoT devices are connected creates big security problems because the medical data being sent over networks is very sensitive. Healthcare organizations have to deal with two main problems: keeping patient information safe and making sure that healthcare services keep running without any interruptions. The growing number of IoT devices, which have different amounts of computing power and security features, has made traditional security methods not enough anymore. Many devices don't have enough power to use strong encryption or detect threats as they happen, which makes them easier targets for attacks like man-in-the-middle, malware insertion, and unwanted access. Even though more people are aware of these problems, healthcare organizations still have a hard time finding a complete and flexible security risk assessment system that covers both IoT devices and cloud-based systems. Current solutions are usually broken, slow to act, or only cover certain kinds of threats. They don't look at all the weaknesses, dangers, and possible problems in a complete way. The design science approach works well because the research is about making a tool (a security risk assessment framework) to deal with a real-world issue. The method will go through these steps: first, identifying and looking at the security issues in IoT healthcare systems, then figuring out what the security framework needs, next creating a cloud-based system to assess risks, followed by building and putting the framework into use, and finally testing and checking how well the framework works. This way, the framework is made to properly handle the security problems in IoT healthcare settings.
Keywords
Cyber Security Threats, Data Protection, HealthCare System, Internet of Things (IoT) Device and e Security Risk Assessment Framework.
How to cite this paper
@article{1720214,
author = {Tayapiti Edmond, Sarjiyus Omega, Nathan Nachandiya},
title = {Development Of a Cloud Based Security Risk Assessment Framework for IoT-Based Health Care System: A Review},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {1},
pages = {3971-3988},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1720214.pdf},
abstract = {The use of Internet of Things (IoT) technology in healthcare has changed how medical services are provided. IoT devices like wearable sensors, implantable tools, and smart diagnostic machines allow doctors to watch patients' health as it happens and help make better decisions about their care. These devices help doctors talk to patients from a distance and give them tailored care, which makes healthcare faster and better for patients. Even though there are many advantages, the way IoT devices are connected creates big security problems because the medical data being sent over networks is very sensitive. Healthcare organizations have to deal with two main problems: keeping patient information safe and making sure that healthcare services keep running without any interruptions. The growing number of IoT devices, which have different amounts of computing power and security features, has made traditional security methods not enough anymore. Many devices don't have enough power to use strong encryption or detect threats as they happen, which makes them easier targets for attacks like man-in-the-middle, malware insertion, and unwanted access. Even though more people are aware of these problems, healthcare organizations still have a hard time finding a complete and flexible security risk assessment system that covers both IoT devices and cloud-based systems. Current solutions are usually broken, slow to act, or only cover certain kinds of threats. They don't look at all the weaknesses, dangers, and possible problems in a complete way. The design science approach works well because the research is about making a tool (a security risk assessment framework) to deal with a real-world issue. The method will go through these steps: first, identifying and looking at the security issues in IoT healthcare systems, then figuring out what the security framework needs, next creating a cloud-based system to assess risks, followed by building and putting the framework into use, and finally testing and checking how well the framework works. This way, the framework is made to properly handle the security problems in IoT healthcare settings.},
keywords = {Cyber Security Threats, Data Protection, HealthCare System, Internet of Things (IoT) Device and e Security Risk Assessment Framework.},
month = {July},
doi = {https://doi.org/10.64388/IREV10I1-1720214}
}