Multi-Temporal Device Clustering for Federated Learning-Internet of Things Intrusion Detection Systems
FL intrusion detection systems (IDSs) have emerged as a defense-in-depth layer for securing internet of things (IoT) networks by training detection models and classifying IoT traffic locally on distributed devices. However, developing effective federated learning (FL)-IoT IDSs remains significantly...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| coleção: | IEEE Transactions on Machine Learning in Communications and Networking |
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| Acesso em linha: | https://ieeexplore.ieee.org/document/11575686/ |
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