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Network Intrusion Detection Method Based on FCWGAN and BiLSTM
Imbalanced datasets greatly affect the analysis capability of intrusion detection models, biasing their classification results toward normal behavior and leading to high false-positive and false-negative rates. To alleviate the impact of class imbalance on the detection accuracy of network intrusion...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020925/ https://www.ncbi.nlm.nih.gov/pubmed/35463253 http://dx.doi.org/10.1155/2022/6591140 |