Malicious Traffic Identification with Self-Supervised Contrastive Learning

Malicious Traffic Identification with Self-Supervised Contrastive Learning

As the demand for Internet access increases, malicious traffic on the Internet has soared also. In view of the fact that the existing malicious-traffic-identification methods suffer from low accuracy, this paper proposes a malicious-traffic-identification method based on contrastive learning. The pr...

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Bibliographic Details
Main Authors: Jin Yang, Xinyun Jiang, Gang Liang, Siyu Li, Zicheng Ma
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
network security
malicious traffic identification
transformer
deep learning
long short-term memory (LSTM)
self-attention
Online Access:https://www.mdpi.com/1424-8220/23/16/7215

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https://www.mdpi.com/1424-8220/23/16/7215

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