Enhancing cybersecurity in IoT systems: a hybrid deep learning approach for real-time attack detection
Abstract Cybersecurity risks have increased due to the growing ubiquity of Internet of Things (IoT) technology, making attack and anomaly detection a major concern. IoT systems face growing threats from attacks such as Distributed Denial of Service (DDoS), Denial of Service (DoS), Probing, R2L (Remo...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer
2025-07-01
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| Collection: | Discover Internet of Things |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1007/s43926-025-00156-y |
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