Automated federated learning for intrusion detection of industrial control systems based on evolutionary neural architecture search

JM Shao, GQ Zeng, KD Lu, GG Geng, J Weng - Computers & Security, 2024 - Elsevier
In recent years, federated learning has been applied to the security of the Internet of Things
and Industrial Control Systems (ICS) due to its advantages in communication cost and …

Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems

JC Huang, GQ Zeng, GG Geng, J Weng, KD Lu… - Computers & …, 2023 - Elsevier
Industrial control systems (ICSs) are facing serious and evolving security threats because of
a variety of malicious attacks. Deep learning-based intrusion detection systems (IDSs) have …

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 …

Metaheuristics with federated learning enabled intrusion detection system in Internet of Things environment

T Vaiyapuri, S Algamdi, R John, Z Sbai… - Expert …, 2023 - Wiley Online Library
Because of increased applications of Internet of Things (IoT) environment in real‐time
environment, confidential data gathered by the IoT devices are being communicated to the …

SOPA‐GA‐CNN: Synchronous optimisation of parameters and architectures by genetic algorithms with convolutional neural network blocks for securing Industrial …

JC Huang, GQ Zeng, GG Geng… - IET Cyber‐Systems …, 2023 - Wiley Online Library
In recent years, deep learning has been applied to a variety of scenarios in Industrial
Internet of Things (IIoT), including enhancing the security of IIoT. However, the existing deep …

Improved Intrusion Detection Based on Hybrid Deep Learning Models and Federated Learning

J Huang, Z Chen, SZ Liu, H Zhang, HX Long - Sensors, 2024 - mdpi.com
The security of the Industrial Internet of Things (IIoT) is of vital importance, and the Network
Intrusion Detection System (NIDS) plays an indispensable role in this. Although there is an …

Efficient Privacy‐Preserving Federated Deep Learning for Network Intrusion of Industrial IoT

N He, Z Zhang, X Wang, T Gao - International Journal of …, 2023 - Wiley Online Library
Intrusion detection systems play a very important role in industrial Internet network security.
However, in the large‐scale, complex, and heterogeneous industrial Internet of Things (IoT) …

Optimization of cnn-based federated learning for cyber-physical detection

AK Abasi, M Aloqaily, B Ouni… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
With the increasing popularity of Cyber-physical Systems (CPS), there is a growing need for
efficient and reliable methods for detecting and responding to threats. Federated Learning …

Intrusion Detection System in Industrial Cyber-Physical System Using Clustered Federated Learning

V Jayagopal, M Elangovan, SS Singaram… - SN Computer …, 2023 - Springer
The quick convergence in the industrial infrastructure with computing and networking has
proliferated the attacks of industry-based Cyber-Physical Systems (CPS). Protecting such …

Deep federated learning-based cyber-attack detection in industrial control systems

AN Jahromi, H Karimipour… - 2021 18th International …, 2021 - ieeexplore.ieee.org
Due to the differences between Information Technology (IT) and Industrial Control System
(ICS) networks, current IT security solutions are not working effectively on ICS networks …