Real-time fusion multi-tier DNN-based collaborative IDPS with complementary features for secure UAV-enabled 6G networks

HJ Hadi, Y Cao, S Li, L Xu, Y Hu, M Li - Expert Systems with Applications, 2024 - Elsevier
UAV-enabled Integrated Sensing and Communication (ISAC) in sixth-generation (6G)
wireless networks has sparked significant research interest. UAVs are positioned as aerial …

Real-Time Collaborative Intrusion Detection System in UAV Networks Using Deep Learning

HJ Hadi, Y Cao, S Li, Y Hu, J Wang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are being used extensively in various fields. UAVs
provide various services to users, including monitoring, logistics and sensing because of …

Cgan-based collaborative intrusion detection for uav networks: A blockchain-empowered distributed federated learning approach

X He, Q Chen, L Tang, W Wang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Numerous resource-constrained Internet of Things (IoT) devices make the edge IoT
consisting of unmanned aerial vehicles (UAVs) vulnerable to network intrusion. Therefore, it …

Stacked Broad Learning System Empowered FCL Assisted by DTN for Intrusion Detection in UAV Networks

X He, Q Chen, W Wang, T Liu, L Li… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
An efficient Intrusion Detection System (IDS) model is essential for the protection of
Unmanned Aerial Vehicles (UAVs) networks against network intrusion. However, when …

Deep attention recognition for attack identification in 5g uav scenarios: Novel architecture and end-to-end evaluation

J Viana, H Farkhari, P Sebastião… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Despite the robust security features inherent in the 5G framework, attackers will still discover
ways to disrupt 5G unmanned aerial vehicle (UAV) operations and decrease UAV control …

Federated continuous learning based on stacked broad learning system assisted by digital twin networks: An incremental learning approach for intrusion detection in …

X He, Q Chen, L Tang, W Wang, T Liu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The edge of the Internet of Things (IoT), which consists of unmanned aerial vehicles (UAVs),
is vulnerable to network intrusion because software and wireless connections are used …

[HTML][HTML] Machine-learning-enabled intrusion detection system for cellular connected UAV networks

R Shrestha, A Omidkar, SA Roudi, R Abbas, S Kim - Electronics, 2021 - mdpi.com
The recent development and adoption of unmanned aerial vehicles (UAVs) is due to its wide
variety of applications in public and private sector from parcel delivery to wildlife …

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 …

[HTML][HTML] Secure and privacy-preserving intrusion detection and prevention in the internet of unmanned aerial vehicles

E Ntizikira, W Lei, F Alblehai, K Saleem, MA Lodhi - Sensors, 2023 - mdpi.com
In smart cities, unmanned aerial vehicles (UAVS) play a vital role in surveillance, monitoring,
and data collection. However, the widespread integration of UAVs brings forth a pressing …

[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 …