Semi-Supervised Encrypted Malicious Traffic Detection Based on Multimodal Traffic Characteristics

The exponential growth of encrypted network traffic poses significant challenges for detecting malicious activities online. The scale of emerging malicious traffic is significantly smaller than that of normal traffic, and the imbalanced data distribution poses challenges for detection. However, most...

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Detalles Bibliográficos

Principais autores:	Ming Liu, Qichao Yang, Wenqing Wang, Shengli Liu
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-10-01
Series:	Sensors
Assuntos:	encrypted malicious traffic detection semi-supervised learning multimodal features network security
Acceso en liña:	https://www.mdpi.com/1424-8220/24/20/6507
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