MaskDGA: An Evasion Attack Against DGA Classifiers and Adversarial Defenses

MaskDGA: An Evasion Attack Against DGA Classifiers and Adversarial Defenses

Domain generation algorithms (DGAs) are commonly used by botnets to generate domain names that bots can use to establish communication channels with their command and control servers. Recent publications presented deep learning classifiers that detect algorithmically generated domain (AGD) names in...

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Bibliographic Details
Main Authors: Lior Sidi, Asaf Nadler, Asaf Shabtai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Adversarial learning
deep learning
botnets
DGA
Online Access:https://ieeexplore.ieee.org/document/9194015/

Internet

https://ieeexplore.ieee.org/document/9194015/

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