Big Data Analytics of IoT-Based Cloud System Framework: Smart Healthcare Monitoring Systems

Author(s):  
Joseph Bamidele Awotunde ◽  
Rasheed Gbenga Jimoh ◽  
Roseline Oluwaseun Ogundokun ◽  
Sanjay Misra ◽  
Oluwakemi Christiana Abikoye
2018 ◽  
Vol 7 (4.19) ◽  
pp. 1021
Author(s):  
Mangore Anirudh K ◽  
Dr. M Roberts Masillamani

This paper represents the prototype of  health monitoring system using Big Data. this brings several Advantage  to the healthcare industry by way of providing timely patient care services, proactive disease detection, real-time monitoring among others. The major challenge faced by healthcare providers on safeguarding the confidentiality of patients’ data.if confidentiality is not well maintained, people may be unable to share their data. Because security has been investigated as a new dimension, “veracity,” in big data, we aim to exploit new challenges of big data in terms of security and devote our attention toward efficient and privacy-preserving computing in the big data era. Specifically, we primary formalize the basic architecture of big data analytics, identify the corresponding privacy requirements, and introduce an efficient and privacy Triple DES as an example in response to data mining’s efficiency and privacy requirements in the big data era. The results of this research exhibit that the proposed system has better secured database access and maintain privacy for all patient data than the traditional database. 


Author(s):  
Dr. Robert Bestak ◽  
Dr. S. Smys

The internet connectivity extended by the internet of things to all the tangible things lying around and used by us in our day today life has convert the devices into smart objects and led to huge set of data generation that holds both the valuable and invaluable information. In order to perfectly handle the information’s generated and mine the valuables from them, the analytics are engaged by the cloud. To have a timely access, most probably the fog services are preferred than the cloud as they bring down the service of the cloud to the user edge and reduces the time complexity in accessing of the information. So the paper proposes the big data analytics for the fog assisted health care application to effectively handle the health information’s diagnosed for the aged persons. The proposed model is simulated using the IFogSim toolkit to examine the performance fogassisted smart healthcare application.


2021 ◽  
Vol 2 (1) ◽  

This concise communication deals with BIG data analytics. It gives a brief outline how the health sector can be benefited from the effective use of it. Citing a recent application in combating Covid-19, we assert that BIG data can go a long way in the domain of SMART healthcare.


2019 ◽  
Vol 54 (5) ◽  
pp. 20
Author(s):  
Dheeraj Kumar Pradhan

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