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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Autors principals:	Zhaolei Shi, Nurbol Luktarhan, Yangyang Song, Huixin Yin
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-05-01
Col·lecció:	Entropy
Matèries:	malicious traffic classification long short-term memory pre-training bidirectional encoder representations from transformers
Accés en línia:	https://www.mdpi.com/1099-4300/25/5/821
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