An Analysis of Convolutional Neural Networks for detecting DGA
A Domain Generation Algorithm (DGA) is an algorithm to generate domain names in a deterministic but seemly random way. Malware use DGAs to generate the next domain to access the Command Control (C&C) communication channel. Given the simplicity and velocity associated to the domain generation...
Guardado en:
Autores principales: | Catania, Carlos, García, Sebastián, Torres, Pablo |
---|---|
Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/73629 |
Aporte de: |
Ejemplares similares
-
Invariance and Same-Equivariance Measures for Convolutional Neural Networks
por: Quiroga, Facundo Manuel
Publicado: (2020) -
A study on Pedestrian detection using a deep convolutional neural network
por: Buemi, María Elena
Publicado: (2016) -
A study on Pedestrian detection using a deep convolutional neural network
por: Orozco, I., et al. -
Early detection of grapevine diseases using pre-trained Convolutional Neural Networks
por: Rios, Cristian Emmanuel, et al.
Publicado: (2023) -
Invariance and Same-Equivariance Measures for Convolutional Neural Networks
por: Quiroga, Facundo Manuel
Publicado: (2021)