Enhancing the Security of Unmanned Aerial Systems using Digital-Twin Technology and Intrusion Detection-Reference-Cited by-同舟云学术

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Enhancing the Security of Unmanned Aerial Systems using Digital-Twin Technology and Intrusion Detection

Published:2021-10-03 Issue: Volume: Page:
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Container-title:2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC)
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Author:

Fraser Benjamin,Al-Rubaye Saba,Aslam Sohaib,Tsourdos Antonios

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9594100/9594288/09594321.pdf?arnumber=9594321

Cited by 11 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. Machine learning approaches to intrusion detection in unmanned aerial vehicles (UAVs);Neural Computing and Applications;2024-08-23

2. Applications of Digital Twins in UAVs;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04

3. YOLOTransfer-DT: An Operational Digital Twin Framework with Deep and Transfer Learning for Collision Detection and Situation Awareness in Urban Aerial Mobility;Aerospace;2024-02-23

4. A Novel Distributed Authentication of Blockchain Technology Integration in IoT Services;IEEE Access;2024

5. Digital Twin Models: Functions, Challenges, and Industry Applications;IEEE Journal of Radio Frequency Identification;2024

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