Detecting malicious code variants using convolutional neural network (CNN) with transfer learning

Detecting malicious code variants using convolutional neural network (CNN) with transfer learning

Malware presents a significant threat to computer networks and devices that lack robust defense mechanisms, despite the widespread use of anti-malware solutions. The rapid growth of the Internet has led to an increase in malicious code attacks, making them one of the most critical challenges in netw...

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Bibliographic Details
Main Authors: Nazish Younas, Shazia Riaz, Saqib Ali, Rafiullah Khan, Farman Ali, Daehan Kwak
Format: Article
Language:English
Published: PeerJ Inc. 2025-04-01
Series:PeerJ Computer Science
Subjects:
CNN
Malicious code variants
Malware variant detection system
Transfer learning
Visualization
Online Access:https://peerj.com/articles/cs-2727.pdf
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