1 citations · 1 across the 8 of their papers we have counts for
4 papers · 1 filter
RawMal-TF: Raw Malware Dataset Labeled by Type and Family
David Bálik, Martin Jureček, 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…
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…
Online Clustering of Known and Emerging Malware Families
Olha Jurečková, Martin Jureček, 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…
Classification and Online Clustering of Zero-Day Malware
Olha Jurečková, Martin Jureček, Mark Stamp +2
A large amount of new malware is constantly being generated, which must not only be distinguished from benign samples, but also classified into malware families. For this purpose,…