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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Autori principali:	Ruonan Wang, Minhuan Huang, Jinjing Zhao, Hongzheng Zhang, Wenjing Zhong, Zhaowei Zhang, Liqiang He
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2024-10-01
Serie:	Scientific Reports
Soggetti:	Malicious traffic classification Few-shot Lightweight model Generalization
Accesso online:	https://doi.org/10.1038/s41598-024-73342-7
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