Doç. Dr. Arzu KAKIŞIM

Yayın Ağı

Makaleler 11

1. Deep MCRan: Hybrid Analysis-Based Ransomware Detection Using Multi-Channel Data Fusion

Gulmez S., KAKIŞIM A., Sogukpinar I.

IEEE Access , cilt.14, ss.131574-131594, 2026 (SCI-Expanded, Scopus)

2. Multi-channel convolutional neural network with attention mechanism using dual-band WiFi signals for indoor positioning systems in smart buildings

Kakisim A., TURGUT AKGÜN Z.

INTERNET OF THINGS , cilt.29, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

3. XRan: Explainable deep learning-based ransomware detection using dynamic analysis

Gulmez S., Kakisim A., Sogukpinar I.

COMPUTERS & SECURITY , cilt.139, 2024 (SCI-Expanded, Scopus)

4. A deep learning approach based on multi-view consensus for SQL injection detection

Kakisim A.

INTERNATIONAL JOURNAL OF INFORMATION SECURITY , cilt.23, ss.1541-1556, 2024 (SCI-Expanded, Scopus)

5. An explainable hybrid deep learning architecture for WiFi-based indoor localization in Internet of Things environment

Turgut Z., Kakisim A.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE , cilt.151, ss.196-213, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

6. Sequential opcode embedding-based malware detection method

Kakisim A., Gulmez S., Sogukpinar I.

COMPUTERS & ELECTRICAL ENGINEERING , cilt.98, 2022 (SCI-Expanded, Scopus)

7. Enhancing attributed network embedding via enriched attribute representations

Kakisim A.

APPLIED INTELLIGENCE , cilt.52, sa.2, ss.1566-1580, 2022 (SCI-Expanded, Scopus)

8. Kıyafet Öneri Sistemi için Giyim Metaverilerine dayalı Temsil Öğrenimi

Kakışım A.

Avrupa Bilim ve Teknoloji Dergisi , sa.29, ss.105-110, 2021 (TRDizin)

9. Öznitelikli Ağlarda Topluluk Arama

Kakışım A.

Avrupa Bilim ve Teknoloji Dergisi , sa.26, ss.332-337, 2021 (TRDizin)

10. Metamorphic malware identification using engine-specific patterns based on co-opcode graphs

Kakisim A., Nar M., Sogukpinar I.

COMPUTER STANDARDS & INTERFACES , cilt.71, 2020 (SCI-Expanded, Scopus)

11. Unsupervised binary feature construction method for networked data

Kakisim A., Sogukpinar I.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.121, ss.256-265, 2019 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 11

1. Feature-Level Comparison of Static and Dynamic Analysis for Malware Detection and Family Classification Zararli Yazilim Tespiti ve Aile Siniflandirmasi için Statik ve Dinamik Analizin Özellik Düzeyinde Karşilaştirilmasi

Gülmez S., KAKIŞIM A., Soǧukpinar I.

34th Signal Processing and Communications Applications Conference, SIU 2026, İstanbul, Türkiye, 7 - 10 Temmuz 2026, (Tam Metin Bildiri)

2. Hybrid GAN-RL Architecture for Hardware Trojan Detection in Gate-Level Netlists

Douar M. O. I., Esirci F. N., KAKIŞIM A.

8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, ICHORA 2026, Ankara, Türkiye, 21 - 23 Mayıs 2026, (Tam Metin Bildiri)

3. Analysis of the Zero-Day Detection of Metamorphic Malware

Gulmez S., KAKIŞIM A., Sogukpinar I.

9th International Conference on Computer Science and Engineering, UBMK 2024, Antalya, Türkiye, 26 - 28 Ekim 2024, ss.731-736, (Tam Metin Bildiri)

4. XAI Empowered Dual Band Wi-Fi Based Indoor Localization via Ensemble Learning

KAKIŞIM A., Turgut Z., Atmaca T.

14th International Conference on Network of the Future, NoF 2023, İzmir, Türkiye, 4 - 06 Ekim 2023, ss.150-158, (Tam Metin Bildiri)

5. Analysis of the Dynamic Features on Ransomware Detection Using Deep Learning-based Methods

Gulmez S., KAKIŞIM A., Sogukpinar I.

11th International Symposium on Digital Forensics and Security, ISDFS 2023, TN, Amerika Birleşik Devletleri, 11 - 12 Mayıs 2023, (Tam Metin Bildiri)

6. Analysis and evaluation of dynamic feature-based malware detection methods

KAKIŞIM A., Nar M., Carkaci N., Sogukpinar I.

11th International Conference on Security for Information Technology and Communications, SecITC 2018, Bucharest, Romanya, 8 - 09 Kasım 2018, cilt.11359 LNCS, ss.247-258, (Tam Metin Bildiri)

7. Analysis and Comparison of Disassemblers for OpCode Based Malware Analysis

Nar M., Kakisim A., Yavuz M. N., Sogukpinar I.

4th International Conference on Computer Science and Engineering (UBMK), Samsun, Türkiye, 11 - 15 Eylül 2019, ss.17-22, (Tam Metin Bildiri)

8. Analysis and Comparison of Opcode-based Malware Detection Approaches

Nar M., Kakisim A., Carkaci N., Yavuz M. N., Sogukpinar I.

3rd International Conference on Computer Science and Engineering (UBMK), Sarajevo, Bosna-Hersek, 20 - 23 Eylül 2018, ss.498-503, (Tam Metin Bildiri)

9. Weighting links based on co-occurrence relationship for community detection enhancement

KAKIŞIM A., Sogukpinar I.

2017 International Conference on Data Mining, Communications and Information Technology, DMCIT 2017, Phuket, Tayland, 25 - 27 Mayıs 2017, cilt.Part F128770, (Tam Metin Bildiri)