Paper Info
Title
Maintaining Security and Privacy in Health Care System Using Learning Based Deep-Q-Networks.
Abstract
In the recent past, Internet of Things (IoT) plays a significant role in different applications such as health care, industrial sector, defense and research etc.… It provides effective framework in maintaining the security, privacy and reliability of the information in internet environment. Among various applications as mentioned health care place a major role, because security, privacy and reliability of the medical information is maintained in an effective way. Even though, IoT provides the effective protocols for maintaining the information, several intermediate attacks and intruders trying to access the health information which in turn reduce the privacy, security and reliability of the entire health care system in internet environment. As a result and to solve the issues, in this research Learning based Deep-Q-Networks has been introduced for reducing the malware attacks while managing the health information. This method examines the medical information in different layers according to the Q-learning concept which helps to minimize the intermediate attacks with less complexity. The efficiency of the system has been evaluated with the help of experimental results and discussions.
Year
DOI
Venue
2018
10.1007/s10916-018-1045-z
J. Medical Systems
Keywords
Field
DocType
Internet of things (IoT),Learning based deep-Q-networks,Privacy,Security and reliability
Health care,Secondary sector of the economy,Computer security,Internet of Things,Malware,Medicine,The Internet,Health information
Journal
Volume
Issue
ISSN
42
10
0148-5598
Citations 
PageRank 
References 
9
0.64
16
Authors
5
Name
Order
Citations
PageRank
P. Mohamed Shakeel1356.80
S. Baskar213418.57
V. R. Dhulipala3386.44
S. Mishra45611.51
Mustafa Musa Jaber5414.56