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.

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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)