Arzu Gorgulu Kakisim

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Malware Detection

Dynamic Analysis

Top Venues

Comput. Electr. Eng.

Future Gener. Comput. Syst.

Publications

Arzu Gorgulu Kakisim
A deep learning approach based on multi-view consensus for SQL injection detection. Int. J. Inf. Sec. 23 (2) (2024)
Zeynep Turgut, Arzu Gorgulu Kakisim
An explainable hybrid deep learning architecture for WiFi-based indoor localization in Internet of Things environment. Future Gener. Comput. Syst. 151 (2024)
Sibel Gülmez, Arzu Gorgulu Kakisim, Ibrahim Sogukpinar
XRan: Explainable deep learning-based ransomware detection using dynamic analysis. Comput. Secur. 139 (2024)
Sibel Gülmez, Arzu Gorgulu Kakisim, Ibrahim Sogukpinar
Analysis of the Dynamic Features on Ransomware Detection Using Deep Learning-based Methods. ISDFS (2023)
Arzu Gorgulu Kakisim, Zeynep Turgut, Tülin Atmaca
XAI Empowered Dual Band Wi-Fi Based Indoor Localization via Ensemble Learning. NoF (2023)
Arzu Gorgulu Kakisim
Correction to: Enhancing attributed network embedding via enriched attribute representations. Appl. Intell. 52 (2) (2022)
Arzu Gorgulu Kakisim
Enhancing attributed network embedding via enriched attribute representations. Appl. Intell. 52 (2) (2022)
Arzu Gorgulu Kakisim, Sibel Gülmez, Ibrahim Sogukpinar
Sequential opcode embedding-based malware detection method. Comput. Electr. Eng. 98 (2022)
Arzu Gorgulu Kakisim, Mert Nar, Ibrahim Sogukpinar
Metamorphic malware identification using engine-specific patterns based on co-opcode graphs. Comput. Stand. Interfaces 71 (2020)
Arzu Gorgulu Kakisim, Ibrahim Sogukpinar
Unsupervised binary feature construction method for networked data. Expert Syst. Appl. 121 (2019)
Arzu Gorgulu Kakisim, Mert Nar, Necmettin Carkaci, Ibrahim Sogukpinar
Analysis and Evaluation of Dynamic Feature-Based Malware Detection Methods. SecITC (2018)