Deep learning for unmanned aerial vehicles detection: A review

N Al-lQubaydhi, A Alenezi, T Alanazi, A Senyor… - Computer Science …, 2024 - Elsevier
As a new type of aerial robotics, drones are easy to use and inexpensive, which has
facilitated their acquisition by individuals and organizations. This unequivocal and …

Wireless channel estimation for low-power IoT devices using real-time data

S Arif, MA Khan, SU Rehman - IEEE Access, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is gaining immense popularity in executing automation activities
via wireless connectivity in the modern era. The IoT networks are designed using mostly low …

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 …

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 …

SkinMarkNet: an automated approach for prediction of monkeyPox using image data augmentation with deep ensemble learning models

A Akram, AA Jamjoom, N Innab, NA Almujally… - Multimedia Tools and …, 2024 - Springer
Monkeypox, a rare but potentially fatal viral disease, poses a significant public health
challenge due to its potential for outbreaks and complications. Detecting monkeypox lesions …

Enhancing Drone Security Through Multi-Sensor Anomaly Detection and Machine Learning

MY Alzahrani - SN Computer Science, 2024 - Springer
Abstract Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, have
determined numerous applications across industries, ranging from aerial surveillance to …

Enhancing Security and Privacy in Small Drone Networks Using 6G-IOT Driven Cyber Physical System

N Tandra, CNG Babu, J Dhanke, AVV Sudhakar… - Wireless Personal …, 2024 - Springer
The purpose of this abstract is to present a concise summary of a study that sought to
enhance the cybersecurity of 6G-IoT drone devices through the use of a layered …

Data Security and Privacy Concerns in Drone Operations

SR Sindiramutty, NZ Jhanjhi, CE Tan… - … Issues and Challenges …, 2024 - igi-global.com
The widespread use of drones across various industries is leading to significant
transformations. However, the resulting concerns about data security and privacy are quite …

ML-based Intrusion Detection for Drone IoT Security.

A Al-Fuwaiers, S Mishra - Journal of Cybersecurity & …, 2024 - search.ebscohost.com
The integration of drones into various industries brings about cybersecurity challenges due
to their reliance on internet connectivity. To address this, we propose a comprehensive …

[PDF][PDF] A Promising and Forward-Looking Advancement Using Drones: Perspectives from Indian Sericulture

H Dutta, S Dutta, H Yadav, IG Prabhu, A Roy… - 2024 - researchgate.net
Drone integration in sericulture marks a promising advancement within the sector,
leveraging recent technological strides in unmanned aerial vehicles (UAVs) across various …