4 citations · 7 across the 3 of their papers we have counts for
3 papers · 1 filter
An Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass Malware Classification
Ferhat Demirkıran, Aykut Çayır, Uğur Ünal +1
Classification of malware families is crucial for a comprehensive understanding of how they can infect devices, computers, or systems. Thus, malware identification enables security…
Benchmark Static API Call Datasets for Malware Family Classification
Berkant Düzgün, Aykut Çayır, Ferhat Demirkıran +3
Nowadays, malware and malware incidents are increasing daily, even with various antivirus systems and malware detection or classification methodologies. Machine learning techniques…
Random CapsNet Forest Model for Imbalanced Malware Type Classification Task
Aykut Çayır, Uğur Ünal, Hasan Dağ
Behavior of a malware varies with respect to malware types. Therefore,knowing type of a malware affects strategies of system protection softwares. Many malware type classification…