Learning-based defense against malicious unmanned aerial vehicles
Adversary unmanned aerial vehicles (UAVs) seriously threaten public security and user
privacy. In this paper, we propose a reinforcement learning (RL) based defense framework …
privacy. In this paper, we propose a reinforcement learning (RL) based defense framework …
Reinforcement learning-based control for unmanned aerial vehicles
Estates, especially those of public security-related companies and institutes, have to protect
their privacy from adversary unmanned aerial vehicles (UAVs). In this paper, we propose a …
their privacy from adversary unmanned aerial vehicles (UAVs). In this paper, we propose a …
A soft-kill reinforcement learning counter unmanned aerial system (c-uas) with accelerated training
DL Da Silva, R Machado, OL Coutinho… - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicles (UAVs) have gained significant popularity and are
used for many applications, from entertainment to surveillance and the modern battlefield …
used for many applications, from entertainment to surveillance and the modern battlefield …
User-centric view of unmanned aerial vehicle transmission against smart attacks
Unmanned aerial vehicle (UAV) systems are vulnerable to smart attackers, who are selfish
and subjective end-users and use smart radio devices to change their attack types and …
and subjective end-users and use smart radio devices to change their attack types and …
A survey on security of UAV and deep reinforcement learning
BS Sarıkaya, Ş Bahtiyar - Ad Hoc Networks, 2024 - Elsevier
Recently, the use of unmanned aerial vehicles (UAV) s for accomplishing various tasks has
gained a significant interest from both civilian and military organizations due to their …
gained a significant interest from both civilian and military organizations due to their …
Reinforcement learning-based security/safety uav system for intrusion detection under dynamic and uncertain target movement
Autonomous security unmanned aerial vehicles (UAVs) have recently gained popularity as
an effective solution for accomplishing target/intrusion detection and tracking tasks with little …
an effective solution for accomplishing target/intrusion detection and tracking tasks with little …
Reinforcement learning based UAV trajectory and power control against jamming
Unmanned aerial vehicles (UAVs) are vulnerable to jamming attacks that aim to interrupt the
communications between the UAVs and ground nodes and to prevent the UAVs from …
communications between the UAVs and ground nodes and to prevent the UAVs from …
Resilient path planning for uavs in data collection under adversarial attacks
In this paper, we investigate jamming-resilient UAV path planning strategies for data
collection in Internet of Things (IoT) networks, in which the typical UAV can learn the optimal …
collection in Internet of Things (IoT) networks, in which the typical UAV can learn the optimal …
UAV networks against multiple maneuvering smart jamming with knowledge-based reinforcement learning
The unmanned aerial vehicles (UAVs) networks are very vulnerable to smart jammers that
can choose their jamming strategy based on the ongoing channel state accordingly …
can choose their jamming strategy based on the ongoing channel state accordingly …
UAV-enabled secure communications by multi-agent deep reinforcement learning
Unmanned aerial vehicles (UAVs) can be employed as aerial base stations to support
communication for the ground users (GUs). However, the aerial-to-ground (A2G) channel …
communication for the ground users (GUs). However, the aerial-to-ground (A2G) channel …