Open access
Aug 2026
Malware detection via memory dump images: investigating the role of uneven kernel filters in CNNs with visual explainability
This paper proposes a novel CNN architecture with uneven kernel sizes that outperforms existing malware detection and classification models and compares its performance against well-known CNN architectures, all trained and tested on malware image datasets.
M. Alaeiyan, Pooria Lakzian
· Journal of Computer Virology... · 0 citations