Cargando…
Deep-Learning-Based Physical Layer Authentication for Industrial Wireless Sensor Networks
In this paper, a deep learning (DL)-based physical (PHY) layer authentication framework is proposed to enhance the security of industrial wireless sensor networks (IWSNs). Three algorithms, the deep neural network (DNN)-based sensor nodes’ authentication method, the convolutional neural network (CNN...
Autores principales: | Liao, Run-Fa, Wen, Hong, Wu, Jinsong, Pan, Fei, Xu, Aidong, Jiang, Yixin, Xie, Feiyi, Cao, Minggui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603790/ https://www.ncbi.nlm.nih.gov/pubmed/31142016 http://dx.doi.org/10.3390/s19112440 |
Ejemplares similares
-
Clustering Based Physical-Layer Authentication in Edge Computing Systems with Asymmetric Resources
por: Chen, Yi, et al.
Publicado: (2019) -
A Novel Physical Layer Assisted Authentication Scheme for Mobile Wireless Sensor Networks
por: Wang, Qiuhua
Publicado: (2017) -
Physical Layer Authentication in Wireless Networks-Based Machine Learning Approaches
por: Alhoraibi, Lamia, et al.
Publicado: (2023) -
Acquiring Authentic Data in Unattended Wireless Sensor Networks
por: Yu, Chia-Mu, et al.
Publicado: (2010) -
Authentication and Key Establishment in Dynamic Wireless Sensor Networks
por: Qiu, Ying, et al.
Publicado: (2010)