An efficient and authenticated key establishment scheme based on fog computing for healthcare system

2021 ◽  
Vol 16 (4) ◽  
Author(s):  
Xinghua Li ◽  
Ting Chen ◽  
Qingfeng Cheng ◽  
Jianfeng Ma
Author(s):  
Mirjana Maksimović

Nowhere do the technology advancements bring improvements than in the healthcare sector, constantly creating new healthcare applications and systems which completely revolutionize the healthcare domain. The appearance of Internet of Things (IoT) based healthcare systems has immensely improved quality and delivery of care, and significantly reduced the costs. At the same time, these systems generate the enormous amount of health-associated data which has to be properly gathered, analyzed and shared. The smart devices, as the components of IoT-driven healthcare systems, are not able to deal with IoT-produced data, neither data posting to the Cloud is the appropriate solution. To overcome smart devices’ and Cloud’s limitations the new paradigm, known as Fog computing, has appeared, where an additional layer processes the data and sends the results to the Cloud. Despite numerous benefits Fog computing brings into IoT-based environments, the privacy and security issues remain the main challenge for its implementation. The reasons for integrating the IoT-based healthcare system and Fog computing, benefits and challenges, as well as the proposition of simple low-cost system are presented in this paper.


2021 ◽  
Author(s):  
Michael Enbibel

This research is done for optimizing telemedicine framework by using fogging or fog computing for smart healthcare systems. Fog computing is used to solve the issues that arise on telemedicine framework of smart healthcare system like Infrastructural, Implementation, Acceptance, Data Management, Security, Bottleneck system organization, and Network latency Issues. we mainly used Distributed Data Flow (DDF) method using fog computing in order to fully solve the listed issues.


Author(s):  
Chandu Thota ◽  
Revathi Sundarasekar ◽  
Gunasekaran Manogaran ◽  
Varatharajan R ◽  
Priyan M. K.

This chapter proposes an efficient centralized secure architecture for end to end integration of IoT based healthcare system deployed in Cloud environment. The proposed platform uses Fog Computing environment to run the framework. In this chapter, health data is collected from sensors and collected sensor data are securely sent to the near edge devices. Finally, devices transfer the data to the cloud for seamless access by healthcare professionals. Security and privacy for patients' medical data are crucial for the acceptance and ubiquitous use of IoT in healthcare. The main focus of this work is to secure Authentication and Authorization of all the devices, Identifying and Tracking the devices deployed in the system, Locating and tracking of mobile devices, new things deployment and connection to existing system, Communication among the devices and data transfer between remote healthcare systems. The proposed system uses asynchronous communication between the applications and data servers deployed in the cloud environment.


2016 ◽  
Vol 22 (11) ◽  
pp. 3432-3436 ◽  
Author(s):  
Jeong-Kyung Moon ◽  
You-Jin Song ◽  
Jin-Mook Kim

Fog Computing ◽  
2018 ◽  
pp. 365-378 ◽  
Author(s):  
Chandu Thota ◽  
Revathi Sundarasekar ◽  
Gunasekaran Manogaran ◽  
Varatharajan R ◽  
Priyan M. K.

This chapter proposes an efficient centralized secure architecture for end to end integration of IoT based healthcare system deployed in Cloud environment. The proposed platform uses Fog Computing environment to run the framework. In this chapter, health data is collected from sensors and collected sensor data are securely sent to the near edge devices. Finally, devices transfer the data to the cloud for seamless access by healthcare professionals. Security and privacy for patients' medical data are crucial for the acceptance and ubiquitous use of IoT in healthcare. The main focus of this work is to secure Authentication and Authorization of all the devices, Identifying and Tracking the devices deployed in the system, Locating and tracking of mobile devices, new things deployment and connection to existing system, Communication among the devices and data transfer between remote healthcare systems. The proposed system uses asynchronous communication between the applications and data servers deployed in the cloud environment.


2021 ◽  
Author(s):  
Michael Enbibel

This research is done for optimizing telemedicine framework by using fogging or fog computing for smart healthcare systems. Fog computing is used to solve the issues that arise on telemedicine framework of smart healthcare system like Infrastructural, Implementation, Acceptance, Data Management, Security, Bottleneck system organization, and Network latency Issues. we mainly used Distributed Data Flow (DDF) method using fog computing in order to fully solve the listed issues.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Wen-Chin Chen ◽  
Yin-Tzu Huang ◽  
Sheng-De Wang

2019 ◽  
Vol 100 ◽  
pp. 275-285 ◽  
Author(s):  
V. Vijayakumar ◽  
D. Malathi ◽  
V. Subramaniyaswamy ◽  
P. Saravanan ◽  
R. Logesh

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