Deep-Learning-Based Physical Layer Authentication for Industrial Wireless Sensor Networks

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 ne...

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Bibliographic Details
Main Authors: Run-Fa Liao, Hong Wen, Jinsong Wu, Fei Pan, Aidong Xu, Yixin Jiang, Feiyi Xie, Minggui Cao
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
PHY-layer
light-weight authentication
neural network
WSN
industrial
Online Access:https://www.mdpi.com/1424-8220/19/11/2440

Internet

https://www.mdpi.com/1424-8220/19/11/2440

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