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cs.CR2025
RawMal-TF: Raw Malware Dataset Labeled by Type and Family
David Bálik, Martin JureÄek, Mark Stamp
This work addresses the challenge of malware classification using machine learning by developing a novel dataset labeled at both the malware type and family levels. Raw binaries we…
cs.CR2025
Multimodal Techniques for Malware Classification
Jonathan Jiang, Mark Stamp
The threat of malware is a serious concern for computer networks and systems, highlighting the need for accurate classification techniques. In this research, we experiment with mul…
cs.CR2024
Online Clustering of Known and Emerging Malware Families
Olha JureÄková, Martin JureÄek, Mark Stamp
Malware attacks have become significantly more frequent and sophisticated in recent years. Therefore, malware detection and classification are critical components of information se…