Hybrid arithmetic optimization algorithm with deep learning model for secure Unmanned Aerial Vehicle networks

Hybrid arithmetic optimization algorithm with deep learning model for secure Unmanned Aerial Vehicle networks

Securing Unmanned Aerial Vehicle (UAV) systems is vital to safeguard the processes involved in operating the drones. This involves the execution of robust communication encryption processes to defend the data exchanged between the UAVs and ground control stations. Intrusion detection, powered by Dee...

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Bibliographic Details
Main Authors: Sultanah M. Alshammari, Nofe A. Alganmi, Mohammed H. Ba-Aoum, Sami Saeed Binyamin, Abdullah AL-Malaise AL-Ghamdi, Mahmoud Ragab
Format: Article
Language:English
Published: AIMS Press 2024-02-01
Series:AIMS Mathematics
Subjects:
unmanned aerial vehicle
arithmetic optimization algorithm
feature selection
autoencoder
deep learning
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024348?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2024348?viewType=HTML

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