A Hybrid Framework for Intrusion Detection in Healthcare Systems Using Deep Learning

The unbounded increase in network traffic and user data has made it difficult for network intrusion detection systems to be abreast and perform well. Intrusion Systems are crucial in e-healthcare since the patients' medical records should be kept highly secure, confidential, and accurate. Any c...

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Detalles Bibliográficos
Autores principales: Akshay Kumaar, M., Samiayya, Duraimurugan, Vincent, P. M. Durai Raj, Srinivasan, Kathiravan, Chang, Chuan-Yu, Ganesh, Harish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790147/
https://www.ncbi.nlm.nih.gov/pubmed/35096763
http://dx.doi.org/10.3389/fpubh.2021.824898

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790147/
https://www.ncbi.nlm.nih.gov/pubmed/35096763
http://dx.doi.org/10.3389/fpubh.2021.824898

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