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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Bibliografski detalji

Glavni autori:	Zhaolei Shi, Nurbol Luktarhan, Yangyang Song, Huixin Yin
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-05-01
Serija:	Entropy
Teme:	malicious traffic classification long short-term memory pre-training bidirectional encoder representations from transformers
Online pristup:	https://www.mdpi.com/1099-4300/25/5/821
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