Research on Anomaly Network Detection Based on Self-Attention Mechanism

Network traffic anomaly detection is a key step in identifying and preventing network security threats. This study aims to construct a new deep-learning-based traffic anomaly detection model through in-depth research on new feature-engineering methods, significantly improving the efficiency and accu...

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Detalles Bibliográficos
Autores principales: Hu, Wanting, Cao, Lu, Ruan, Qunsheng, Wu, Qingfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255318/
https://www.ncbi.nlm.nih.gov/pubmed/37299786
http://dx.doi.org/10.3390/s23115059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255318/
https://www.ncbi.nlm.nih.gov/pubmed/37299786
http://dx.doi.org/10.3390/s23115059

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