scholar.google.com › citations
This paper studies the application of online federated learning for intrusion detection systems. An experiment is conducted with two different models, ...
Abstract—This paper studies the application of online feder- ated learning for intrusion detection systems. An experiment is conducted with two different ...
Oct 17, 2024 · To address this issue, this paper proposes a novel Decentralized and Online Federated Learning Intrusion Detection (DOF-ID) architecture. DOF-ID ...
The objective of this thesis is to evaluate the performance of online federated machine learning methods for intrusion detection systems. Furthermore, the ...
This work proposes a detection model that is both lightweight and effective. This model is able to keep its high detection accuracy by combining the benefits ...
This paper proposes a federated sampling and lightweight intrusion-detection system for IoT networks that use K-means for sampling network traffic and ...
The present paper aims to present an extensive and exhaustive review on the use of FL in intrusion detection system.
May 22, 2024 · We propose a network intrusion algorithm based on the Federated Learning with Inheritance Private Model (FedPHP), which applies Federation Learning (FL) to the ...
Missing: Novel | Show results with:Novel
In this paper, we propose a novel IDS framework called FL-IIDS to effectively address the catastrophic forgetting problem.
Oct 18, 2024 · This paper proposes a novel federated learning approach for improving IoT network intrusion detection.
Missing: Online Streaming