Arzu Gorgulu Kakisim

12 papers Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multi-channel convolutional neural network with attention mechanism using dual-band WiFi signals for indoor positioning systems in smart buildings.
Internet Things
Arzu Gorgulu Kakisim, Zeynep Turgut
2024 J jnl
A deep learning approach based on multi-view consensus for SQL injection detection.
Int. J. Inf. Sec.
Arzu Gorgulu Kakisim
2024 J jnl
An explainable hybrid deep learning architecture for WiFi-based indoor localization in Internet of Things environment.
Future Gener. Comput. Syst.
Zeynep Turgut, Arzu Gorgulu Kakisim
2024 J jnl
XRan: Explainable deep learning-based ransomware detection using dynamic analysis.
Comput. Secur.
Sibel Gülmez, Arzu Gorgulu Kakisim, Ibrahim Sogukpinar
2023 — conf
Analysis of the Dynamic Features on Ransomware Detection Using Deep Learning-based Methods.
ISDFS
Sibel Gülmez, Arzu Gorgulu Kakisim, Ibrahim Sogukpinar
2023 — conf
XAI Empowered Dual Band Wi-Fi Based Indoor Localization via Ensemble Learning.
NoF
Arzu Gorgulu Kakisim, Zeynep Turgut, Tülin Atmaca
2022 J jnl
Correction to: Enhancing attributed network embedding via enriched attribute representations.
Appl. Intell.
Arzu Gorgulu Kakisim
2022 J jnl
Enhancing attributed network embedding via enriched attribute representations.
Appl. Intell.
Arzu Gorgulu Kakisim
2022 J jnl
Sequential opcode embedding-based malware detection method.
Comput. Electr. Eng.
Arzu Gorgulu Kakisim, Sibel Gülmez, Ibrahim Sogukpinar
2020 J jnl
Metamorphic malware identification using engine-specific patterns based on co-opcode graphs.
Comput. Stand. Interfaces
Arzu Gorgulu Kakisim, Mert Nar, Ibrahim Sogukpinar
2019 J jnl
Unsupervised binary feature construction method for networked data.
Expert Syst. Appl.
Arzu Gorgulu Kakisim, Ibrahim Sogukpinar
2018 — conf
Analysis and Evaluation of Dynamic Feature-Based Malware Detection Methods.
SecITC
Arzu Gorgulu Kakisim, Mert Nar, Necmettin Carkaci, Ibrahim Sogukpinar