EEFED: Personalized federated learning of execution&evaluation dual network for CPS intrusion detection
In the modern interconnected world, intelligent networks and computing technologies are
increasingly being incorporated in industrial systems. However, this adoption of advanced …
increasingly being incorporated in industrial systems. However, this adoption of advanced …
DeepFed: Federated deep learning for intrusion detection in industrial cyber–physical systems
The rapid convergence of legacy industrial infrastructures with intelligent networking and
computing technologies (eg, 5G, software-defined networking, and artificial intelligence) …
computing technologies (eg, 5G, software-defined networking, and artificial intelligence) …
An interpretable federated learning-based network intrusion detection framework
Learning-based Network Intrusion Detection Systems (NIDSs) are widely deployed for
defending various cyberattacks. Existing learning-based NIDS mainly uses Neural Network …
defending various cyberattacks. Existing learning-based NIDS mainly uses Neural Network …
Federated learning for reliable model updates in network-based intrusion detection
Abstract Machine Learning techniques for network-based intrusion detection are widely
adopted in the scientific literature. Besides being highly variable, network traffic behavior …
adopted in the scientific literature. Besides being highly variable, network traffic behavior …
Deep learning based network intrusion detection system for resource-constrained environments
Network intrusion detection systems (IDS) examine network packets and alert system
administrators and investigators to low-level security violations. In large networks, these …
administrators and investigators to low-level security violations. In large networks, these …
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 …
in realizing intrusion detection. Federated Learning (FL) has been proposed as a new …
Enhancing privacy-preserving intrusion detection through federated learning
Detecting anomalies, intrusions, and security threats in the network (including Internet of
Things) traffic necessitates the processing of large volumes of sensitive data, which raises …
Things) traffic necessitates the processing of large volumes of sensitive data, which raises …
A review of federated learning in intrusion detection systems for iot
Intrusion detection systems are evolving into intelligent systems that perform data analysis
searching for anomalies in their environment. The development of deep learning …
searching for anomalies in their environment. The development of deep learning …
Federated reinforcement learning based intrusion detection system using dynamic attention mechanism
Due to the recent advancements in the Internet of Things (IoT) and cloud computing
technologies, the detection and prevention of intrusions in enterprise networks have become …
technologies, the detection and prevention of intrusions in enterprise networks have become …
Give and take: Federated transfer learning for industrial iot network intrusion detection
The rapid growth in Internet of Things (IoT) technology has become an integral part of
today's industries forming the Industrial IoT (IIoT) initiative, where industries are leveraging …
today's industries forming the Industrial IoT (IIoT) initiative, where industries are leveraging …