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A Privacy-Preserved Variational-Autoencoder for DGA Identification in the Education Industry and Distance Learning
One of the most insidious methods of bypassing security mechanisms in a modern information system is the domain generation algorithms (DGAs), which are used to disguise the identity of malware by periodically switching the domain name assigned to a command and control (C&C) server. Combating adv...
Autores principales: | Zheng, Xingxing, Yin, Xiaona |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970956/ https://www.ncbi.nlm.nih.gov/pubmed/35371250 http://dx.doi.org/10.1155/2022/7384803 |
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