N-BaIoT

The N-BaIoT dataset is a benchmark for evaluating intrusion detection systems in heterogeneous Internet of Things (IoT) networks, containing diverse real-world scenarios to assess the effectiveness of security methods.

Papers using N-BaIoT (6)

Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT2025 · 2 citesFedMSE: Semi-supervised federated learning approach for IoT network intrusion detection2024 · 2 citesAdaptive Meta-Aggregation Federated Learning for Intrusion Detection in Heterogeneous Internet of Things2026Enhancing IoT Security Against DDoS Attacks through Federated Learning2024 · 2 citesFed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection2023Federated Learning for Malware Detection in IoT Devices2021