A lightweight model design approach for few-shot malicious traffic classification

Abstract Classifying malicious traffic, which can trace the lineage of attackers’ malicious families, is fundamental to safeguarding cybersecurity. However, the deep learning approaches currently employed require substantial volumes of data, conflicting with the challenges in acquiring and accuratel...

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Detalhes bibliográficos

Principais autores:	Ruonan Wang, Minhuan Huang, Jinjing Zhao, Hongzheng Zhang, Wenjing Zhong, Zhaowei Zhang, Liqiang He
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2024-10-01
coleção:	Scientific Reports
Assuntos:	Malicious traffic classification Few-shot Lightweight model Generalization
Acesso em linha:	https://doi.org/10.1038/s41598-024-73342-7
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