A Machine Learning Framework for Domain Generation Algorithm-Based Malware Detection

A Machine Learning Framework for Domain Generation Algorithm-Based Malware Detection

Attackers usually use a command and control (C2) server to manipulate the communication. In order to perform an attack, threat actors often employ a domain generation algorithm (DGA), which can allow malware to communicate with C2 by generating a variety of network locations. Traditional malware con...

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Bibliographic Details
Main Authors: Yi Li, Kaiqi Xiong, Tommy Chin, Chengbin Hu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Malware
domain generation algorithm
machine learning
security
networking
Online Access:https://ieeexplore.ieee.org/document/8631171/

Internet

https://ieeexplore.ieee.org/document/8631171/

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