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20212026
most citedAn Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass Malware Classification

4 citations · 8 across the 6 of their papers we have counts for

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6 papers

cs.CR2026

AspisAI: A Canonical, Machine-Interpretable Governance Framework for Automated Multi-Standard Compliance Monitoring

Tsafac Nkombong Regine Cyrille, Hasan Dag, Reiner Creutzburg +1

Organisations operating in regulated and critical-infrastructure sectors must satisfy multiple, heterogeneous cybersecurity and privacy instruments simultaneously, including but no…

cs.CR2026

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…

cs.CR2024★ 1 cited

Phishing Website Detection through Multi-Model Analysis of HTML Content

Furkan Çolhak, Mert İlhan Ecevit, Bilal Emir Uçar +2

The way we communicate and work has changed significantly with the rise of the Internet. While it has opened up new opportunities, it has also brought about an increase in cyber th…

cs.CR2024

SecureReg: Combining NLP and MLP for Enhanced Detection of Malicious Domain Name Registrations

Furkan Çolhak, Mert İlhan Ecevit, Hasan Dağ +1

The escalating landscape of cyber threats, characterized by the registration of thousands of new domains daily for large-scale Internet attacks such as spam, phishing, and drive-by…

cs.CR2021★ 4 cited

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…

cs.CR2021★ 3 cited

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…