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

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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Bibliographic Details
Main Authors: Zhanghui Liu, Yudong Zhang, Yuzhong Chen, Xinwen Fan, Chen Dong
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Entropy
Subjects:
domain generation algorithm
algorithmically generated domain name
SMOTE
recurrent convolutional neural network
spatial pyramid pooling
Online Access:https://www.mdpi.com/1099-4300/22/9/1058

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