Optimizing feature selection and deep learning techniques for precise detection of low-rate distributed denial of service (LDDoS) attack
Abstract The solution for cybersecurity faces significant challenges due to the growing complexity of denial of service (DoS) attacks, especially Low-rate Distributed Denial of Service (LDDoS) attacks. Low-rate DDoS refers to the small number of requests to overcome the sudden spikes that disrupt th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Internet of Things |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43926-025-00182-w |
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