Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues

A Heidari, N Jafari Navimipour, M Unal… - ACM Computing …, 2023 - dl.acm.org
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

A comprehensive review of unmanned aerial vehicle attacks and neutralization techniques

V Chamola, P Kotesh, A Agarwal, N Gupta, M Guizani - Ad hoc networks, 2021 - Elsevier
Abstract Unmanned Aerial Vehicles (UAV) have revolutionized the aircraft industry in this
decade. UAVs are now capable of carrying out remote sensing, remote monitoring, courier …

A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic

A Kumar, K Sharma, H Singh, SG Naugriya… - Future Generation …, 2021 - Elsevier
Abstract Coronavirus disease (COVID-19) is an infectious disease caused by a newly
discovered coronavirus. It is similar to influenza viruses and raises concerns through …

Survey on anti-drone systems: Components, designs, and challenges

S Park, HT Kim, S Lee, H Joo, H Kim - IEEE access, 2021 - ieeexplore.ieee.org
This paper presents a comprehensive survey on anti-drone systems. After drones were
released for non-military usages, drone incidents in the unarmed population are gradually …

A survey on machine-learning techniques for UAV-based communications

PS Bithas, ET Michailidis, N Nomikos, D Vouyioukas… - Sensors, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless
communication networks. Their adoption in various communication-based applications is …

Unmanned Aerial Vehicle (UAV) based Forest Fire Detection and monitoring for reducing false alarms in forest-fires

S Sudhakar, V Vijayakumar, CS Kumar, V Priya… - Computer …, 2020 - Elsevier
The primary sources for ecological degradation currently are the Forest Fires (FF). The
present observation frameworks for FF absence need supporting in constant checking of …

Detection and classification of UAVs using RF fingerprints in the presence of Wi-Fi and Bluetooth interference

M Ezuma, F Erden, CK Anjinappa… - IEEE Open Journal …, 2019 - ieeexplore.ieee.org
This paper investigates the problem of detection and classification of unmanned aerial
vehicles (UAVs) in the presence of wireless interference signals using a passive radio …

Artificial intelligence for UAV-enabled wireless networks: A survey

MA Lahmeri, MA Kishk… - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are considered as one of the promising technologies for
the next-generation wireless communication networks. Their mobility and their ability to …

A survey on device behavior fingerprinting: Data sources, techniques, application scenarios, and datasets

PMS Sánchez, JMJ Valero, AH Celdrán… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
In the current network-based computing world, where the number of interconnected devices
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …

Drone detection and defense systems: Survey and a software-defined radio-based solution

FL Chiper, A Martian, C Vladeanu, I Marghescu… - Sensors, 2022 - mdpi.com
With the decrease in the cost and size of drones in recent years, their number has also
increased exponentially. As such, the concerns regarding security aspects that are raised by …