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scopus(4)
Convolution Based Feature Extraction for Edge Computing Access Authentication
ArticleAbstract: In this article, a convolutional neural network (CNN) enhanced radio frequency fingerprinting (RFF)Palabras claves:Access authentication, Convolution, Edge computing, Feature Extraction, radio frequency fingerprinting (RFF)Autores:Chen S., Hou W., Jiang Y., Jinsong Wu, Wen H., Xie F.Fuentes:scopusData Augmentation for Radio Frequency Fingerprinting via Pseudo-Random Integration
ArticleAbstract: Radio frequency fingerprinting (RFF) is a lightweight access authentication method for the mobile tePalabras claves:data augmentation, radio frequency fingerprinting, random integration, signal classification, SVMAutores:Hou W., Jiang Y., Jinsong Wu, Liao R.F., Song H., Wen H., Xie F., Zhang T.Fuentes:scopusDeep-learning-based physical layer authentication for industrial wireless sensor networks
ArticleAbstract: In this paper, a deep learning (DL)-based physical (PHY) layer authentication framework is proposedPalabras claves:INDUSTRIAL, Light-weight authentication, neural network, PHY-layer, WSNAutores:Cao M., Jiang Y., Jinsong Wu, Liao R.F., Pan F., Wen H., Xie F., Xu A.Fuentes:scopusSecurity enhancement for mobile edge computing through physical layer authentication
ArticleAbstract: In this paper, we investigate the security threats in mobile edge computing (MEC) of Internet of thiPalabras claves:Deep neural network (DNN), Mobile edge computing (MEC), multi-user, PHY-layer authentication, The Internet of things (IoT)Autores:Cao M., Jiang Y., Jinsong Wu, Liao R.F., Pan F., Song H., Wen H., Xie F., Xu A.Fuentes:scopus