Sep 1, 2020 · Experimental results and empirical analysis explore the robustness and advantages of the proposed Federated Learning detection model by reaching ...

Jun 27, 2021 · We proposed in this article a federated machine learning based intrusion detection scheme for IoT, which leaves data generated on-devices, ...

We proposed in this article a federated machine learning based intrusion detection scheme for IoT, which leaves data generated on-devices, trains their own ...

Experimental results and empirical analysis explore the robustness and advantages of the proposed Federated Learning detection model by reaching an accuracy ...

Sep 5, 2020 · In this context, we propose in this article a Federated Learning based scheme for IoT intrusion detection that maintains data privacy by ...

Experimental results and empirical analysis explore the robustness and advantages of the proposed Federated Learning detection model by reaching an accuracy ...

Jul 24, 2023 · In this article, we evaluate the use of federated learning (FL) as a method to implement intrusion detection in IoT environments.

Federated Learning (FL) is a decentralized approach that can enhance performance and privacy of the data by training IDS on individual connected devices. This ...

This paper studies label-flipping attacks in FL-based IoT intrusion detection. We propose a lightweight detection mechanism to mitigate the impact of poisoning ...

This paper proposes a robust intrusion detection system (IDS) using federated learning and large language models (LLMs). The core of our IDS is based on BERT, a ...