Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things

Z Zhang, Y Zhang, H Li, S Liu, W Chen, Z Zhang… - … Applications of Artificial …, 2024 - Elsevier
As a promising paradigm, Federated Learning (FL)-based distributed intrusion detection
offers potent protection for the network security of Industrial Internet of Things (IIoT) systems …

Towards Ever-Evolution Network Threats: A Hierarchical Federated Class-Incremental Learning Approach for Network Intrusion Detection in IIoT

J Mao, Z Wei, B Li, R Zhang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The rise of collaborative manufacturing, driven by the rapid proliferation of Industrial Internet
of Things (IIoT) technologies, has markedly enhanced agility and productivity in industrial …

CFL-IDS: An Effective Clustered Federated Learning Framework for Industrial Internet of Things Intrusion Detection

Y Shan, Y Yao, X Zhou, T Zhao, B Hu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) offers the manufacturing sector opportunities for
transformation and upgrade but also carries significant security risks. Traditional federated …

Semisupervised federated-learning-based intrusion detection method for internet of things

R Zhao, Y Wang, Z Xue, T Ohtsuki… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Federated learning (FL) has become an increasingly popular solution for intrusion detection
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …

Heterogeneous Data-Aware Federated Learning for Intrusion Detection Systems via Meta-sampling in Artificial Intelligence of Things

W Han, J Peng, J Yu, J Kang, J Lu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Intrusion detection systems (IDSs) integrated with machine learning (ML) techniques have
proven to be effective defenses against the increasing cybersecurity attacks in the Artificial …

Federated deep learning for intrusion detection in Consumer-Centric Internet of Things

SI Popoola, AL Imoize, M Hammoudeh… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Consumer-centric Internet of Things (CIoT) will play a pivotal role in the fifth industrial
revolution (Industry 5.0) but it exhibits vulnerabilities that can render it susceptible to various …

A semi-supervised federated learning scheme via knowledge distillation for intrusion detection

R Zhao, L Yang, Y Wang, Z Xue, G Gui… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Federated learning (FL) has become an increasingly popular solution for intrusion detection
to avoid data privacy leakage in Internet of Things (IoT) edge devices. However, most of the …

Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning

J Shen, W Yang, Z Chu, J Fan, D Niyato… - arXiv preprint arXiv …, 2024 - arxiv.org
With the rapid development of low-cost consumer electronics and cloud computing, Internet-
of-Things (IoT) devices are widely adopted for supporting next-generation distributed …

[HTML][HTML] Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks

X Sáez-de-Cámara, JL Flores, C Arellano, A Urbieta… - Computers & …, 2023 - Elsevier
There is a growing trend of cyberattacks against Internet of Things (IoT) devices; moreover,
the sophistication and motivation of those attacks is increasing. The vast scale of IoT, diverse …

Federated learning-based network intrusion detection with a feature selection approach

Y Qin, M Kondo - 2021 International conference on electrical …, 2021 - ieeexplore.ieee.org
With the increase and diversity of network attacks, machine learning has shown its efficiency
in realizing intrusion detection. Federated Learning (FL) has been proposed as a new …