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

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 va...

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Publicado en:Journal of Medical Systems Vol. 42; no. 10; pp. 1 - 2
Autores principales: Mohamed Shakeel, P., Baskar, S., Sarma Dhulipala, V. R., Mishra, Sukumar, Jaber, Mustafa Musa
Formato: equations & formulas tables/charts Journal Article
Publicado: Springer Nature Oct2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2018
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      pub: Springer Nature
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        atl: Maintaining Security and Privacy in Health Care System Using Learning Based Deep-Q-Networks.
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          Mohamed Shakeel, P.
          Baskar, S.
          Sarma Dhulipala, V. R.
          Mishra, Sukumar
          Jaber, Mustafa Musa
        affil: Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia
      sug:
        subj:
          Electronic Health Records
          Privacy and Confidentiality
          Data Security
          Neural Networks (Computer)
          Management Information Systems
          Computer Viruses
          Internet of Things
          Machine Learning
          Reliability
          Data Analysis, Computer Assisted
      ab: 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.
      pubtype: Academic Journal
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        equations & formulas
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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