Web: http://arxiv.org/abs/2112.13236

June 23, 2022, 1:12 a.m. | Ferhat Demirkıran, Aykut Çayır, Uğur Ünal, Hasan Dağ

stat.ML updates on arXiv.org arxiv.org

Classification of malware families is crucial for a comprehensive
understanding of how they can infect devices, computers, or systems. Thus,
malware identification enables security researchers and incident responders to
take precautions against malware and accelerate mitigation. API call sequences
made by malware are widely utilized features by machine and deep learning
models for malware classification as these sequences represent the behavior of
malware. However, traditional machine and deep learning models remain incapable
of capturing sequence relationships between API calls. On …

arxiv classification ensemble malware models transformer transformer models

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