Security Enhancement for Mobile Edge Computing Through Physical Layer Authentication

Security Enhancement for Mobile Edge Computing Through Physical Layer Authentication

In this paper, we investigate the security threats in mobile edge computing (MEC) of Internet of things, and propose a deep-learning (DL)-based physical (PHY) layer authentication scheme which exploits channel state information (CSI) to enhance the security of MEC system via detecting spoofing attac...

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Bibliographic Details
Main Authors: Run-Fa Liao, Hong Wen, Jinsong Wu, Fei Pan, Aidong Xu, Huanhuan Song, Feiyi Xie, Yixin Jiang, Minggui Cao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Mobile edge computing (MEC)
the Internet of things (IoT)
PHY-layer authentication
deep neural network (DNN)
multi-user
Online Access:https://ieeexplore.ieee.org/document/8793124/

Internet

https://ieeexplore.ieee.org/document/8793124/

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