scholarly journals Edge computing in smart health care systems: Review, challenges, and research directions

Author(s):  
Morghan Hartmann ◽  
Umair Sajid Hashmi ◽  
Ali Imran
2021 ◽  
Author(s):  
Mary Subaja Christo ◽  
Bommi R M ◽  
Anandaraj S P ◽  
Udhaya Sankar S M ◽  
Anbarasu V ◽  
...  

Abstract In recent years, E-services such as e-healthcare, e-learning, e-ticketing, depend on computer networks where the attackers have started introducing new types of attacks. Therefore, it is necessary to enhance security for communication which is needed for the transfer of confidential information relating to patients through the network. In our research we have developed a reputation aggregation based dynamic trust model for edge computing based E-health care systems. In this model, the edge node evaluates the trust value of a user and allows the user to access the E-health care system only when the trust value is satisfied. In order to do this, initially the user information is collected with the help of user agents and then this information is processed and the relevant data alone is sent to the edge nodes for evaluating the trust. Finally, the trusted users can be identified through edge nodes and they are only given the permission to access the e-health care system. Attacks generated in the simulations are detected using the prevailing algorithms and also the suggested techniques. The simulation results of this work prove the ability of the proposed techniques which are used to detect the attacks accurately and to prevent them effectively.


Author(s):  
Anil Kumar Swain ◽  
Bunil Kumar Balabantaray ◽  
Jitendra Kumar Rout

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 4047 ◽  
Author(s):  
Abdul Ahad ◽  
Mohammad Tahir ◽  
Muhammad Aman Sheikh ◽  
Kazi Istiaque Ahmed ◽  
Amna Mughees ◽  
...  

Smart health-care is undergoing rapid transformation from the conventional specialist and hospital-focused style to a distributed patient-focused manner. Several technological developments have encouraged this rapid revolution of health-care vertical. Currently, 4G and other communication standards are used in health-care for smart health-care services and applications. These technologies are crucial for the evolution of future smart health-care services. With the growth in the health-care industry, several applications are expected to produce a massive amount of data in different format and size. Such immense and diverse data needs special treatment concerning the end-to-end delay, bandwidth, latency and other attributes. It is difficult for current communication technologies to fulfil the requirements of highly dynamic and time-sensitive health care applications of the future. Therefore, the 5G networks are being designed and developed to tackle the diverse communication needs of health-care applications in Internet of Things (IoT). 5G assisted smart health-care networks are an amalgamation of IoT devices that require improved network performance and enhanced cellular coverage. Current connectivity solutions for IoT face challenges, such as the support for a massive number of devices, standardisation, energy-efficiency, device density, and security. In this paper, we present a comprehensive review of 5G assisted smart health-care solutions in IoT. We present a structure for smart health-care in 5G by categorizing and classifying existing literature. We also present key requirements for successful deployment of smart health-care systems for certain scenarios in 5G. Finally, we discuss several open issues and research challenges in 5G smart health-care solutions in IoT.


2004 ◽  
Vol 171 (4S) ◽  
pp. 42-43 ◽  
Author(s):  
Yair Latan ◽  
David M. Wilhelm ◽  
David A. Duchene ◽  
Margaret S. Pearle

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