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...

Descripción completa

Detalles Bibliográficos
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:
Article
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

Internet

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