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A deep learning-based IDS for IoT: model proposal and comparative study of dataset balancing techniques

Intrusion detection in Internet of Things (IoT) environments presents challenges due to the diversity of connected devices and their resource limitations. IoT networks generate complex, imbalanced traffic where benign activity predominates over attack instances. This imbalance hampers the performanc...

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-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Antonio Villafranca, Kyaw Min Thant, Igor Tasic, Maria-Dolores Cano
Формат: Artigo
Хэл сонгох:Inglês
Хэвлэсэн: Taylor & Francis Group 2026-03-01
Цуврал:Journal of Information and Telecommunication
Нөхцлүүд:
Онлайн хандалт:https://www.tandfonline.com/doi/10.1080/24751839.2026.2640249
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