An efficient self attention-based 1D-CNN-LSTM network for IoT attack detection and identification using network traffic
In the last ten years, the IoT has played a crucial role in society's digital transformation. However, because of the wide range of devices it encompasses, it is also facing increased security vulnerabilities. This research presents a novel mechanism called the self-attention-based 1D-CNN-LSTM, whic...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
KeAi Communications Co., Ltd.
2025-09-01
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| Серія: | Journal of Information and Intelligence |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2949715924000763 |
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