Lightweight LSTM-Based Homogeneous Transfer Learning for Efficient On-Device IoT Intrusion Detection
The emergence of the Internet of Things (IoT) has introduced major security challenges. Deep learning models have shown strong potential for intrusion detection. However, they often require large datasets and high computational resources. In contrast, IoT environments are resource-constrained and la...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2026-03-01
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| Colecção: | Future Internet |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1999-5903/18/3/133 |
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