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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: Amjad Gamlo, Sanaa Sharaf, Rania Molla
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-03-01
Colecção:Future Internet
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Acesso em linha:https://www.mdpi.com/1999-5903/18/3/133
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