TSFN: A Novel Malicious Traffic Classification Method Using BERT and LSTM

Traffic classification is the first step in network anomaly detection and is essential to network security. However, existing malicious traffic classification methods have several limitations; for example, statistical-based methods are vulnerable to hand-designed features, and deep learning-based me...

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Detalles Bibliográficos
Autores principales: Shi, Zhaolei, Luktarhan, Nurbol, Song, Yangyang, Yin, Huixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216927/
https://www.ncbi.nlm.nih.gov/pubmed/37238576
http://dx.doi.org/10.3390/e25050821

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216927/
https://www.ncbi.nlm.nih.gov/pubmed/37238576
http://dx.doi.org/10.3390/e25050821

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