Earthworm optimization algorithm based cascade LSTM-GRU model for android malware detection
The rise in mobile malware risks brought on by the explosion of Android smartphones required more efficient detection techniques. Inspired by a cascade of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, optimized using the Earthworm Optimization Algorithm (EOA), this study pre...
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| Автори: | , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
KeAi Communications Co., Ltd.
2025-12-01
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| Серія: | Cyber Security and Applications |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2772918424000493 |
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