Adversarially Optimized Multi-Space Prototypical Network for Intrusion Detection in 5G-Enabled IoT Systems
Existing state-of-the-art IDS solutions in 5G-enabled IoT, including deep convolutional architectures, are constrained by data scarcity, limited edge resources, and poor robustness in few-shot learning (FSL) scenarios with scarce attack samples. To address these limitations, we propose MSPL-IDS, a r...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| Colecção: | IEEE Transactions on Machine Learning in Communications and Networking |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11433812/ |
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