Cargando…
A threat intelligence framework for protecting smart satellite-based healthcare networks
Human-to-machine (H2M) communication is an important evolution in the industrial internet of health things (IIoHT), where many H2M interfaces are remotely interacting with industrial and medical assets. Lightweight protocols, such as constrained application protocol (CoAP), have been widely utilised...
Autores principales: | Al-Hawawreh, Muna, Moustafa, Nour, Slay, Jill |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425465/ https://www.ncbi.nlm.nih.gov/pubmed/34518744 http://dx.doi.org/10.1007/s00521-021-06441-5 |
Ejemplares similares
-
Tuberculosis detection in chest radiograph using convolutional neural network architecture and explainable artificial intelligence
por: Nafisah, Saad I., et al.
Publicado: (2022) -
A statistical approach to secure health care services from DDoS attacks during COVID-19 pandemic
por: Zhou, Zhili, et al.
Publicado: (2021) -
Machine learning techniques for CT imaging diagnosis of novel coronavirus pneumonia: a review
por: Chen, Jingjing, et al.
Publicado: (2022) -
Convolutional neural network-based models for diagnosis of breast cancer
por: Masud, Mehedi, et al.
Publicado: (2020) -
Efficient deep learning approach for augmented detection of Coronavirus disease
por: Sedik, Ahmed, et al.
Publicado: (2021)