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...

Descripción completa

Detalles Bibliográficos
Autores principales: Cao, Bo, Li, Chenghai, Song, Yafei, Fan, Xiaoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
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

Internet

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

Ejemplares similares