• Gülmez, S., Sogukpinar, I. (2021, June). Graph-Based Malware Detection Using Opcode Sequences. In 2021 9th International Symposium on Digital Forensics and Security (ISDFS) (pp. 1-5). IEEE.

• Arzu Gorgulu Kakisim, Sibel Gulmez, Ibrahim Sogukpinar. Sequential opcode embedding-based malware detection method, Computers and Electrical Engineering, Volume 98, 2022.
• Gulmez, S., Kakisim, A. G., Sogukpinar, I. (2023, May). Analysis of the Dynamic Features on Ransomware Detection Using Deep Learning-based Methods. In 2023 11th International Symposium on Digital Forensics and Security (ISDFS) (pp. 1-6). IEEE.
• Gulmez, S., Duman A., Duman A. S., Sogukpinar I. (2023, September). Log Mining-based Online Failure Prediction in Client-Server Architecture. In 2023 international conference on computer science and engineering (UBMK) (pp. 492-497). IEEE.
• Gulmez, S., Kakisim, A. G., Sogukpinar, I. (2024). XRan: Explainable deep learning-based ransomware detection using dynamic analysis. Computers ﹠ Security. 103703.
• Gulmez, S., Kakisim, A. G., Sogukpinar, I. (2024, October). Analysis of the Zero-Day Detection of Metamorphic Malware. In 2024 9th International Conference on Computer Science and Engineering (UBMK) (pp. 1-6). IEEE.

Ders Kodu	Ders Adı

İşlem Kodu Analizi ile Çizge Tabanlı Zararlı Yazılım Analiz
(Graph-based malware detection using opcode analysis)

• Third Cycle (Doctoral): Computer Engineering, Gebze Technical University (2021 - ...)
• Second Cycle (Master's): Cyber Security, Gebze Technical University (2018 - 2021)
• First Cycle (Undergraduate): Mathematics and Computer Science, Istanbul Aydin University (2013 - 2017)