Detection of Algorithmically Generated Domain Names Using the Recurrent Convolutional Neural Network with Spatial Pyramid Pooling

Domain generation algorithms (DGAs) use specific parameters as random seeds to generate a large number of random domain names to prevent malicious domain name detection. This greatly increases the difficulty of detecting and defending against botnets and malware. Traditional models for detecting alg...

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Detalles Bibliográficos
Autores principales: Liu, Zhanghui, Zhang, Yudong, Chen, Yuzhong, Fan, Xinwen, Dong, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597131/
https://www.ncbi.nlm.nih.gov/pubmed/33286827
http://dx.doi.org/10.3390/e22091058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597131/
https://www.ncbi.nlm.nih.gov/pubmed/33286827
http://dx.doi.org/10.3390/e22091058

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