Network intrusion detection system: A systematic study of machine learning and deep learning approaches

Z Ahmad, A Shahid Khan, C Wai Shiang… - Transactions on …, 2021 - Wiley Online Library
The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

Detection and classification of multirotor drones in radar sensor networks: A review

A Coluccia, G Parisi, A Fascista - Sensors, 2020 - mdpi.com
Thanks to recent technological advances, a new generation of low-cost, small, unmanned
aerial vehicles (UAVs) is available. Small UAVs, often called drones, are enabling …

A blockchain-based decentralized machine learning framework for collaborative intrusion detection within UAVs

AA Khan, MM Khan, KM Khan, J Arshad, F Ahmad - Computer Networks, 2021 - Elsevier
UAVs have numerous emerging applications in various domains of life. However, it is
extremely challenging to gain the required level of public acceptance of UAVs without …

RF-based UAV detection and identification using hierarchical learning approach

I Nemer, T Sheltami, I Ahmad, AUH Yasar… - Sensors, 2021 - mdpi.com
Unmanned Aerial Vehicles (UAVs) are widely available in the current market to be used
either for recreation as a hobby or to serve specific industrial requirements, such as …

Joint optimization of trajectory, propulsion, and thrust powers for covert UAV-on-UAV video tracking and surveillance

S Hu, W Ni, X Wang, A Jamalipour… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Autonomous tracking of suspicious unmanned aerial vehicles (UAVs) by legitimate
monitoring UAVs (or monitors) can be crucial to public safety and security. It is non-trivial to …

An improved Yolov5 for multi-rotor UAV detection

B Liu, H Luo - Electronics, 2022 - mdpi.com
Multi-rotor drones have a wide range of applications in practical scenarios; however, the use
of multi-rotor drones for illegal acts is also on the rise, in order to improve the recognition …

Wavelet transform analytics for RF-based UAV detection and identification system using machine learning

OO Medaiyese, M Ezuma, AP Lauf, I Guvenc - Pervasive and Mobile …, 2022 - Elsevier
In this work, we performed a thorough comparative analysis on a radio frequency (RF)
based drone detection and identification system (DDI) under wireless interference, such as …

Online UAV trajectory planning for covert video surveillance of mobile targets

H Huang, AV Savkin, W Ni - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
This article considers the use of an unmanned aerial vehicle (UAV) for covert video
surveillance of a mobile target on the ground and presents a new online UAV trajectory …

Machine learning techniques in internet of UAVs for smart cities applications

FA Alqurashi, F Alsolami… - Journal of Intelligent …, 2022 - content.iospress.com
Recently, there were much interest in technology which has emerged greatly to the
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …