4 citations · 7 across the 4 of their papers we have counts for
4 papers
PhiShark2026: A Multi-Layer Active-Web Raw-Evidence Dataset for Phishing Website Research
Furkan Çolhak, Ferhat Demirkıran, Hasan Dağ +1
Phishing websites are short-lived and rapidly changing, yet many phishing datasets reduce observations to URLs or precomputed features, constraining researchers to predefined repre…
EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media
Ismail Erbas, Ferhat Demirkiran, Karthik Swaminathan +6
Fluorescence LiDAR (FLiDAR), a Light Detection and Ranging (LiDAR) technology employed for distance and depth estimation across medical, automotive, and other fields, encounters si…
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…