Learning-Based PHY-Layer Authentication for Underwater Sensor Networks-Reference-Cited by-同舟云学术

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Learning-Based PHY-Layer Authentication for Underwater Sensor Networks

Published:2019-01 Issue:1 Volume:23 Page:60-63
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Xiao Liang^ORCID,Sheng Geyi^ORCID,Wan Xiaoyue^ORCID,Su Wei^ORCID,Cheng Peng^ORCID

Funder

National Natural Science Foundation of China

NSFC

State Key Laboratory of Industrial Control Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/8605392/08501958.pdf?arnumber=8501958

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel physical layer authentication mechanism for static and mobile 3D underwater acoustic communication networks;Physical Communication;2024-10

2. Military Decision Support with Actor and Critic Reinforcement Learning Agents;Defence Science Journal;2024-02-26

3. Multi-User Physical Layer Authentication Based on CSI Using ResNet in Mobile IIoT;IEEE Transactions on Information Forensics and Security;2024

4. Physical Layer Authentication Without Adversary Training Data in Resource-Constrained Underwater Acoustic Networks;IEEE Sensors Journal;2023-11-15

5. Database-based Physical Layer Authentication for Dynamic Underwater Acoustic Networks;OCEANS 2023 - Limerick;2023-06-05

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