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Network Intrusion Detection Technology Based on Convolutional Neural Network and BiGRU
To solve the problem of low accuracy and high false-alarm rate of existing intrusion detection models for multiple classifications of intrusion behaviors, a network intrusion detection model incorporating convolutional neural network and bidirectional gated recurrent unit is proposed. To solve the p...
| 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/PMC9019421/ https://www.ncbi.nlm.nih.gov/pubmed/35463242 http://dx.doi.org/10.1155/2022/1942847 |