Maintaining Security and Privacy in Health Care System Using Learning Based Deep-Q-Networks

Journal of Medical Systems
P Mohamed ShakeelMustafa Musa Jaber

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.

References

Jul 29, 2009·Neural Computation·Petra SchneiderBarbara Hammer
Jan 19, 2012·Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society·R S H IstepanianA Sungoor

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