Comparison of Machine Learning and Deep Learning Models for Network Intrusion Detection Systems
The development of robust anomaly-based network detection systems, which are preferred over static signal-based network intrusion, is vital for cybersecurity. The development of a flexible and dynamic security system is required to tackle the new attacks. Current intrusion detection systems (IDSs) s...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2020-09-01
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| coleção: | Future Internet |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1999-5903/12/10/167 |
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