Classification and Source Location Indication of Jamming Attacks Targeting UAVs via Multi-output Multiclass Machine Learning Modeling-Reference-Cited by-同舟云学术

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Classification and Source Location Indication of Jamming Attacks Targeting UAVs via Multi-output Multiclass Machine Learning Modeling

Published:2024-01-06 Issue: Volume: Page:
ISSN:
Container-title:2024 IEEE International Conference on Consumer Electronics (ICCE)
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Author:

Alkhatib M.¹,McCormick M.¹,Williams L.¹,Leon A.¹,Camerano L.¹,Shamaileh K. Al¹,Devabhaktuni V.²,Kaabouch N.³

Affiliation:

1. Purdue University Northwest,Electrical and Computer Engineering Department,Hammond,IN,USA,46323

2. Illinois State University,Electrical and Computer Engineering Department,Normal,IL,USA,61761

3. University of North Dakota,School of Electrical Engineering and Computer Science,Grand Forks,ND,USA,58202

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10444098/10444131/10444388.pdf?arnumber=10444388

Reference15 articles.

1. Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint

2. A compilation of UAV applications for precision agriculture

3. Unmanned aerial vehicles applications in future smart cities

4. A detection and identification method based on signal power for different types of Electronic Jamming attacks on GPS signals

Cited by 2 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. Detecting and Mitigating Attacks on GPS Devices;Sensors;2024-08-26

2. Recent Advances on Jamming and Spoofing Detection in GNSS;Sensors;2024-06-28

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