Detecting signal spoofing and jamming attacks in UAV networks using a lightweight IDS

MP Arthur - 2019 international conference on computer …, 2019 - ieeexplore.ieee.org
In recent times, security issues pertaining to drones have received a great deal of attention
from researchers in networking and communication circles, given their applications in the …

High-performance intrusion detection system for networked UAVs via deep learning

Q Abu Al-Haija, A Al Badawi - Neural Computing and Applications, 2022 - Springer
Abstract Recently, Unmanned Aerial Vehicles (UAVs) have become a widely popular
technology with remarkable growth and unprecedented attention. However, UAV …

Intrusion detection systems for networked unmanned aerial vehicles: A survey

G Choudhary, V Sharma, I You, K Yim… - … & Mobile Computing …, 2018 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAV)-based civilian or military applications become more
critical to serving civilian and/or military missions. The significantly increased attention on …

UAV's applications, architecture, security issues and attack scenarios: A survey

NA Khan, SN Brohi, NZ Jhanjhi - … on Data Science: Proceedings of ICTIDS …, 2020 - Springer
Unmanned aerial vehicles (UAVs)/drones have become very popular in recent years as they
are widely used in several domains. They are widely used in both military and civilian …

Machine Learning and Software Defined Network to secure communications in a swarm of drones

C Guerber, M Royer, N Larrieu - Journal of information security and …, 2021 - Elsevier
As drones become more and more frequent in industry and perhaps tomorrow in everyday
life, the variety and sensitivity of their missions will increase. Securing the communication …

A hierarchical detection and response system to enhance security against lethal cyber-attacks in UAV networks

H Sedjelmaci, SM Senouci… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) networks have not yet received considerable research
attention. Specifically, security issues are a major concern because such networks, which …

Lightweight ids for uav networks: A periodic deep reinforcement learning-based approach

O Bouhamed, O Bouachir, M Aloqaily… - 2021 IFIP/IEEE …, 2021 - ieeexplore.ieee.org
The use of intrusion detection systems (IDS) has become crucial for modern networks. To
ensure the targeted performance of such networks, diverse techniques were introduced to …

Security analysis of drones systems: Attacks, limitations, and recommendations

JP Yaacoub, H Noura, O Salman, A Chehab - Internet of Things, 2020 - Elsevier
Recently, the world witnessed a significant increase in the number of used drones, with a
global and continuous rise in the demand for their multi-purpose applications. The pervasive …

[HTML][HTML] A survey of cyber security threats and solutions for UAV communications and flying ad-hoc networks

KY Tsao, T Girdler, VG Vassilakis - Ad Hoc Networks, 2022 - Elsevier
Unmanned aerial vehicles (UAVs) are a rapidly evolving technology, and being highly
mobile, UAV systems are able to cooperate with each other to accomplish a wide range of …

Deep-reinforcement-learning-based intrusion detection in aerial computing networks

J Tao, T Han, R Li - IEEE Network, 2021 - ieeexplore.ieee.org
The proliferation of unmanned aerial vehicles (UAVs) leads to various applications in
different fields. Due to the easy deployment and dynamic reconfigurability of UAVs, they can …