Publication | Closed Access
Extensive Survey on Cloud-based IoT-Healthcare and Security using Machine Learning
15
Citations
11
References
2018
Year
Unknown Venue
Iot Data AnalyticsCloud TechnologyEngineeringMachine LearningData ScienceHealthcare DataCloud ComputingWearable TechnologyInternet Of Things SecurityIot ChallengeIot SecurityInternet Of ThingsComputer ScienceIot SystemIot HealthcareIot Data ManagementHealth InformaticsBig Data
Internet of Things (IoT) has gathered huge attention during the past few years for its potential to make major advancements in the healthcare system. With the rapid growth in cloud computing it is being used in almost every field including healthcare. This is because IoT healthcare uses wearable sensors that gather a huge volume of data and the cloud computing environment is ideal for handling this big data and analyzing it. However, Cloud-based IoT healthcare faces many security issues. Hence, this paper presents an extensive survey on the different cloud-based IoT healthcare systems which use machine learning for analyzing data and reviews the different machine learning approaches that are used in cybersecurity. Thus, a standard model is proposed in this paper, for the future healthcare system which combines Cloud technology, IoT healthcare and machine learning. Few uses cases are also provided in this paper to give a better understanding of our model.
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