An Investigation to Detect Banking Malware Network Communication Traffic Using Machine Learning Techniques

An Investigation to Detect Banking Malware Network Communication Traffic Using Machine Learning Techniques

Banking malware are malicious programs that attempt to steal confidential information, such as banking authentication credentials, from users. Zeus is one of the most widespread banking malware variants ever discovered. Since the Zeus source code was leaked, many other variants of Zeus have emerged,...

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Bibliographic Details
Main Authors: Mohamed Ali Kazi, Steve Woodhead, Diane Gan
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Journal of Cybersecurity and Privacy
Subjects:
Zeus banking malware
Zeus malware variants
machine learning
binary classification algorithms
deep learning
feature selection
Online Access:https://www.mdpi.com/2624-800X/3/1/1

Internet

https://www.mdpi.com/2624-800X/3/1/1

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