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Chaminda Hewage

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Open access 2026

A Multi-Modal Deep Learning Framework for Robust Polymorphic Malware Detection

A Hybrid Multi-Modal Deep Learning framework that combines visual and structural features reduces modality collapse and creates a much stronger system compared to using either input type on its own, improves detection performance on deeply hidden contemporary threats, including the AveMariaRAT and CobaltStrike families.

Phil Steadman, Paul Jenkins, Rajkumar Singh Rathore et al. · 0 citations