Anomalous Network Traffic Detection Method Based on an Elevated Harris Hawks Optimization Method and Gated Recurrent Unit Classifier

In recent years, network traffic contains a lot of feature information. If there are too many redundant features, the computational cost of the algorithm will be greatly increased. This paper proposes an anomalous network traffic detection method based on Elevated Harris Hawks optimization. This met...

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Detalles Bibliográficos
Autores principales: Xiao, Yao, Kang, Chunying, Yu, Hongchen, Fan, Tao, Zhang, Haofang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571187/
https://www.ncbi.nlm.nih.gov/pubmed/36236647
http://dx.doi.org/10.3390/s22197548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571187/
https://www.ncbi.nlm.nih.gov/pubmed/36236647
http://dx.doi.org/10.3390/s22197548

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