Dr. Öğr. Üyesi GÖZDE KARATAŞ BAYDOĞMUŞ

Makaleler 13

1. Federated learning in intrusion detection: advancements, applications, and future directions

BÜYÜKTANIR B., Altinkaya Ş., KARATAŞ BAYDOĞMUŞ G., YILDIZ K.

Cluster Computing , cilt.28, sa.7, 2025 (SCI-Expanded)

2. Awareness with Machine: Hybrid Approach to Detecting ASD with a Clustering

KARATAŞ BAYDOĞMUŞ G., DEMİR Ö.

Computers, Materials and Continua , cilt.84, sa.2, ss.3393-3406, 2025 (SCI-Expanded)

3. So-haTRed: A novel hybrid system for Turkish Hate Speech Detection in Social Media with Ensemble Deep Learning improved by BERT and clustered-Graph Networks

Altinel A. B., Sahin S., Gurbuz M. Z., Karataş Baydoğmuş G.

IEEE Access , cilt.12, ss.86252-86270, 2024 (SCI-Expanded)

4. Solution for TSP/mTSP with an Improved Parallel Clustering and Elitist ACO

KARATAŞ BAYDOĞMUŞ G.

Computer Science and Information Systems , cilt.29, sa.1, ss.195-214, 2023 (SCI-Expanded)

5. An ensemble learning based IDS using Voting rule: VEL-IDS

Emanet S., KARATAŞ BAYDOĞMUŞ G., DEMİR Ö.

PeerJ Computer Science , cilt.9, ss.1-23, 2023 (SCI-Expanded) Sürdürülebilir Kalkınma

6. Detecting Internet of Things Attacks by Using Hybrid Learning and Feature Selection Method

KARATAŞ BAYDOĞMUŞ G.

Avrupa Bilim ve Teknoloji Dergisi , sa.29, ss.19-25, 2021 (Hakemli Dergi)

7. Öznitelik Seçme Yöntemlerinin Makine Öğrenmesi Tabanlı Saldırı Tespit Sistemi Performansına Etkileri

Emanet Ş., KARATAŞ BAYDOĞMUŞ G., DEMİR Ö.

Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi , cilt.12, sa.5, ss.743-755, 2021 (Hakemli Dergi)

8. Deep Learning Based Security Management of Information Systems: A Comparative Study

çebi c. b., bulut f. s., fırat h., ŞAHİNGÖZ Ö. K., KARATAŞ G.

Journal of Advances in Information Technology , cilt.11, sa.3, ss.135-142, 2020 (Scopus)

9. Increasing the Performance of Machine Learning-Based IDSs on an Imbalanced and Up-to-Date Dataset

Karatas G., Demir Ö., Şahingöz Ö. K.

IEEE ACCESS , cilt.8, ss.32150-32162, 2020 (SCI-Expanded)

10. Saldırı Tespit Sistemlerinde Makine Öğrenmesi Modellerinin Karşılaştırılması

CEBİ C. B., BULUT F. S., FIRAT H., KARATAŞ G., ŞAHİNGÖZ Ö. K.

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi , cilt.12, sa.3, ss.1513-1525, 2019 (Hakemli Dergi)

11. Survey on Access Control Mechanisms in Cloud Computing

KARATAŞ G., AKBULUT A.

Journal of Cyber Security and Mobility , cilt.7, sa.3, ss.1-36, 2018 (Scopus)

12. Automated testing for distributed databases with fuzzy fragment reallocation

Akbulut A., Karatas G.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES , cilt.26, sa.2, ss.677-692, 2018 (SCI-Expanded)

13. Mobil Cihazlarda Güvenlik Tehditler Temel Stratejiler.

KARATAŞ G., AKBULUT A., ZAİM A. H.

İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi , cilt.15, sa.30, ss.55-75, 2016 (Hakemsiz Dergi)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 19

1. CNN and LSTM-Based In-Memory Malware Detection: Performance Improvement with Transfer Learning

Ozdemir S. N., KARATAŞ BAYDOĞMUŞ G., DEMİR Ö.

7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, ICHORA 2025, Ankara, Türkiye, 23 - 24 Mayıs 2025, (Tam Metin Bildiri)

2. A Systematic Mapping Study on Machine Unlearning in Federated Learning

Büyüktanır B., Yıldız K., Karataş Baydoğmuş G.

7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, ICHORA 2025, Ankara, Türkiye, 23 - 24 Mayıs 2025, (Tam Metin Bildiri)

3. Obtaining the Dominating Set in Graphs with the Invasive Weed Optimization Algorithm

KARCI Ş., KARATAŞ BAYDOĞMUŞ G.

8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024, Malatya, Türkiye, 21 - 22 Eylül 2024, (Tam Metin Bildiri)

4. Disease Detection using Deep Learning Algorithms on the Hardware Platforms

KARATAŞ BAYDOĞMUŞ G., Cicekli N. Z.

2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023, Sivas, Türkiye, 11 - 13 Ekim 2023, (Tam Metin Bildiri)

5. A Parallelization Based Ant Colony Optimization for Travelling Salesman Problem

KARATAŞ BAYDOĞMUŞ G.

2022 1st International Conference on Information System & Information Technology (ICISIT), 27 Temmuz 2022, (Tam Metin Bildiri)

6. Probability Selection for Solving Sudoku with Ant Colony optimization Algorithm

KARATAŞ BAYDOĞMUŞ G.

2022 1st International Conference on Information System & Information Technology (ICISIT), 28 Temmuz 2022, (Tam Metin Bildiri)

7. Covid-19 Disease Detection with Improved Deep Learning Algorithms on X-Ray Data

Cicekli N. Z., KARATAŞ BAYDOĞMUŞ G.

2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Türkiye, 10 Haziran 2022, (Tam Metin Bildiri)

8. The Effect of Loss and Optimization Functions on Bitcoin Rate Prediction in LSTM

Kirci B. K., KARATAŞ BAYDOĞMUŞ G.

2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Türkiye, 10 Haziran 2022, (Tam Metin Bildiri)

9. Intrusion Detection Systems with GPU-AcceleratedDeep Neural Networks and Effect of the Depth

REIS B., KAYA S. B., KARATAŞ G., ŞAHİNGÖZ Ö. K.

6th International Conference on Control Engineering Information Technology, 25 - 27 Ekim 2018, (Tam Metin Bildiri)

10. A Deep Learning Based Intrusion Detection System on GPUs

KARATAŞ G., DEMİR Ö., ŞAHİNGÖZ Ö. K.

InternationalConference on Electronics, Computers and Artificial Intelligence- ECAI 2019, 27 - 29 Haziran 2019, (Tam Metin Bildiri)

11. Intrusion Detection Systems with Deep Learning: A Systematic Mapping Study

ÖSKEN S., YILDIRIM E. N., KARATAŞ G., CUHACI L.

2019 Scientific Meeting on Electrical-Electronics Biomedical Engineering and Computer Science (EBBT), 24 - 26 Nisan 2019, (Tam Metin Bildiri)

12. Deep Learning in Intrusion Detection Systems

KARATAŞ G., DEMİR Ö., ŞAHİNGÖZ Ö. K.

International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism, 3 - 04 Aralık 2018, (Tam Metin Bildiri)

13. Neural Network Based Intrusion Detection Systems with Different Training Functions

KARATAŞ G., ŞAHİNGÖZ Ö. K.

International Symposium on Digital Forensic and Security, 22 - 25 Mart 2018, (Tam Metin Bildiri)

14. Deep Learning in Intrusion Detection Systems

Karatas G., DEMİR Ö., ŞAHİNGÖZ Ö. K.

International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT), Ankara, Türkiye, 3 - 04 Aralık 2018, ss.113-116, (Tam Metin Bildiri)