Visualized Malware Multi-Classification Framework Using Fine-Tuned CNN-Based Transfer Learning Models

Visualized Malware Multi-Classification Framework Using Fine-Tuned CNN-Based Transfer Learning Models

There is a massive growth in malicious software (Malware) development, which causes substantial security threats to individuals and organizations. Cybersecurity researchers makes continuous efforts to defend against these malware risks. This research aims to exploit the significant advantages of Tra...

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Bibliographic Details
Main Authors: Walid El-Shafai, Iman Almomani, Aala AlKhayer
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
cybersecurity threats
malware visualization
detection
classification
deep learning
machine learning
Online Access:https://www.mdpi.com/2076-3417/11/14/6446

Internet

https://www.mdpi.com/2076-3417/11/14/6446

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