IoT empowered smart cybersecurity framework for intrusion detection in internet of drones

SN Ashraf, S Manickam, SS Zia, AA Abro, M Obaidat… - Scientific Reports, 2023 - nature.com
The emergence of drone-based innovative cyber security solutions integrated with the
Internet of Things (IoT) has revolutionized navigational technologies with robust data …

Helmet wearing detection of motorcycle drivers using deep learning network with residual transformer-spatial attention

S Chen, J Lan, H Liu, C Chen, X Wang - Drones, 2022 - mdpi.com
Aiming at the existing problem of unmanned aerial vehicle (UAV) aerial photography for
riders' helmet wearing detection, a novel aerial remote sensing detection paradigm is …

Intrusion detection method based on denoising diffusion probabilistic models for uav networks

Y Wang, J Ding, X He, Q Wei, S Yuan… - Mobile Networks and …, 2023 - Springer
Security is important for UAV networks because of the need for a cyber-secure flying air
space for UAV group communication to complete the complex tasks cooperatively. Network …

Sdn-driven dynamic deployment of ids with load balancing for drones in emergency scenarios

M Tropea, MG Spina… - … Conference on Information …, 2023 - ieeexplore.ieee.org
In this paper, the concept of dynamically deploying Intrusion Detection Systems (IDS) over
drones in emergency scenarios is explored by exploiting the modern new Software Defined …

A survey on the latest intrusion detection datasets for software defined networking environments

HYI Khalid, NBI Aldabagh - Engineering, Technology & Applied Science …, 2024 - etasr.com
Abstract Software Defined Networking (SDN) threats make network components vulnerable
to cyber-attacks, creating obstacles for new model development that necessitate innovative …

Revolutionizing healthcare 5.0: Blockchain-driven optimization of drone-to-everything communication using 5G network for enhanced medical services

Ö Sabuncu, B Bilgehan - Technology in Society, 2024 - Elsevier
The healthcare industry has witnessed a notable surge in the adoption of drone technology
for the swift and efficient transportation of vital medical supplies. In the expansive and …

[PDF][PDF] DATA-FedAVG: Delay-aware truncated accuracy-based federated averaging for intrusion detection in UAV network

VU Ihekoronye, CI Nwakanma, DS Kim… - J Kor Inst Commun …, 2023 - researchgate.net
In federated learning, the synchronous approach employed by the aggregating algorithm in
the federal server, such as federated averaging (FedAVG), introduces high network …

Supporting dynamic ids deployment with load balancing strategy for sdn-enabled drones in emergency scenarios

M Tropea, MG Spina, F De Rango - Proceedings of the Int'l ACM …, 2023 - dl.acm.org
A dynamic deployment of Intrusion Detection Systems (IDS) over drone networks exploiting
the new Software-Defined Networking (SDN) paradigm in emergency scenarios is …

Eavesdropping Attack Detection in UAVs using Ensemble Learning

K Das, C Ghosh, R Karmakar - 2023 Second International …, 2023 - ieeexplore.ieee.org
The use of Unmanned Aerial Vehicles (UAVs) is proliferated and is prone to cyber attacks.
Eavesdropping attack is an active threat to the security of an UAV as attackers intercept the …

Cyber-Physical Intrusion Detection System for Unmanned Aerial Vehicles

SC Hassler, UA Mughal, M Ismail - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The increasing reliance on unmanned aerial vehicles (UAVs) has escalated the associated
cyber risks. While machine learning has enabled intrusion detection systems (IDSs), current …