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ID-RDRL: a deep reinforcement learning-based feature selection intrusion detection model
Network assaults pose significant security concerns to network services; hence, new technical solutions must be used to enhance the efficacy of intrusion detection systems. Existing approaches pay insufficient attention to data preparation and inadequately identify unknown network threats. This pape...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470692/ https://www.ncbi.nlm.nih.gov/pubmed/36100644 http://dx.doi.org/10.1038/s41598-022-19366-3 |