[PDF][PDF] Archimedes Optimization with Deep Learning Based Aerial Image Classification for Cybersecurity Enabled UAV Networks.

F Kateb, M Ragab - Computer Systems Science & Engineering, 2023 - cdn.techscience.cn
The recent adoption of satellite technologies, unmanned aerial vehicles (UAVs) and 5G has
encouraged telecom networking to evolve into more stable service to remote areas and …

Enhancing Security in IoT-Assisted UAV Networks Using Adaptive Mongoose Optimization Algorithm with Deep Learning

SS Alotaibi, A Sayed, ES Abd Elhameed… - IEEE …, 2024 - ieeexplore.ieee.org
Due to the sensitive and mission-critical nature of the data collected and transferred, security
in IoT-assisted UAV networks is of great significance. Intrusion detection in IoT-assisted UAV …

Cyber edge intelligent intrusion detection framework for uav network based on random forest algorithm

VU Ihekoronye, SO Ajakwe, DS Kim… - 2022 13th International …, 2022 - ieeexplore.ieee.org
The synchronization of swarms of drones (also known as unmanned aerial vehicles (UAV))
in a network can be attributed to their high mobility and maneuverability capabilities, making …

Modified Marine Predators Algorithm With Deep Learning-Driven Security Solution for IoT-Assisted UAV Networks

SA Babu, A Ranganath, MM Goswami… - IEEE …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are advanced technologies that are initially utilized for
military apps like border monitoring and reconnaissance in opposed territories. Internet of …

Modelling of oppositional Aquila Optimizer with machine learning enabled secure access control in Internet of drones environment

S Perumalla, S Chatterjee, APS Kumar - Theoretical Computer Science, 2023 - Elsevier
Abstract Internet of Drones (IoD) is a decentralized network and management framework
which connects drones' access to the limited airspace and offers inter-location navigation …

Earthworm optimization with deep transfer learning enabled aerial image classification model in IoT enabled UAV networks

RP SELVAM - Fusion: Practice and Applications, 2022 - americaspg.com
Unmanned aerial vehicles (UAVs) can be placed effectively in offering high-quality services
for Internet of Things (IoT) networks. It finds use in several applications such as smart city …

[PDF][PDF] Optimal deep reinforcement learning for intrusion detection in UAVs

V Praveena, A Vijayaraj, P Chinnasamy… - … , Materials & Continua, 2022 - researchgate.net
In recent years, progressive developments have been observed in recent technologies and
the production cost has been continuously decreasing. In such scenario, Internet of Things …

A novel intrusion detection system based on artificial neural network and genetic algorithm with a new dimensionality reduction technique for UAV communication

K Cengiz, S Lipsa, RK Dash, N Ivković… - IEEE Access, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are increasingly being deployed in crucial missions for
the armed forces, law enforcement, industrial control monitoring, and other sectors …

[HTML][HTML] Swarm Intelligence with Deep Transfer Learning Driven Aerial Image Classification Model on UAV Networks

S S. Alotaibi, H Abdullah Mengash, N Negm… - Applied Sciences, 2022 - mdpi.com
Nowadays, unmanned aerial vehicles (UAVs) have gradually attracted the attention of many
academicians and researchers. The UAV has been found to be useful in variety of …

[HTML][HTML] Modelling of Metaheuristics with Machine Learning-Enabled Cybersecurity in Unmanned Aerial Vehicles

M Rizwanullah, HA Mengash, M Alamgeer, K Tarmissi… - Sustainability, 2022 - mdpi.com
The adoption and recent development of Unmanned Aerial Vehicles (UAVs) are because of
their widespread applications in the private and public sectors, from logistics to environment …