Deep Learning Approaches for Malware Detection: A Comprehensive Review of Techniques, Challenges, and Future Directions

Deep Learning Approaches for Malware Detection: A Comprehensive Review of Techniques, Challenges, and Future Directions

Malware remains a persistent and evolving cybersecurity threat, necessitating advanced detection techniques to counter increasingly sophisticated attacks. This survey provides a comprehensive review of deep learning-based approaches for malware detection, synthesizing 109 publications published betw...

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Bibliographic Details
Main Authors: Mohammad Alshoulie, Abid Mehmood
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Malware detection (MD)
deep learning (DL)
convolutional neural networks (CNNs)
recurrent neural networks (RNNs)
deep neural networks (DNNs)
hybrid models
Online Access:https://ieeexplore.ieee.org/document/11048875/
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https://ieeexplore.ieee.org/document/11048875/

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