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...

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Detalles Bibliográficos
Autores principales: Ma, Zexuan, Li, Jin, Song, Yafei, Wu, Xuan, Chen, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
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

Internet

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

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