Mert Nakip, PhD Email: Orcid ID: 0000-0002-6723-6494Position: assistant professorResearch groups Security, Modelling and Performance Evaluation Group Horizontal TabsPublications Biblio RSS Submitted 1. Gelenbe, E., and M. Nakip, "Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks", arXiv, Submitted. (1.86 MB) 2. Nakip, M., and E. Gelenbe, "Online Self-Supervised Learning in Machine Learning Intrusion Detection for the Internet of Things", arXiv, Submitted. (6.78 MB) 2024 3. Nakip, M., B. Can Gül, and E. Gelenbe, "Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection", Modeling, Analysis, and Simulation On Computer and Telecommunication Systems (MASCOTS): IEEE, 2024. (1.06 MB) 2023 4. Nakip, M., O. Çopur, E. Biyik, and C. Güzeliş, "Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network", Applied Energy, vol. 340, 03/2023. (887.88 KB) 5. Nasereddin, M., M. Nakip, and E. Gelenbe, "Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed", The 48th IEEE Conference on Local Computer Networks, Daytona Beach, Florida, USA, IEEE, 2023. (861.42 KB) 6. Gelenbe, E., and M. Nakip, "Real-Time Cyberattack Detection with Offline and Online Learning", IEEE International Symposium on Local and Metropolitan Area Networks, London, United Kingdom, IEEE, 2023. (1.09 MB) 7. Gelenbe, E., and M. Nakip, "IoT Network Cybersecurity Assessment with the Associated Random Neural Network", IEEE Access, 2023. (966.17 KB) 2022 8. Çopur, O., M. Nakip, S. Scardapane, and J. Slowack, "Engagement Detection with Multi-Task Training in E-Learning Environments", International Conference on Image Analysis and Processing (ICIAP): Springer, 2022. (1.2 MB) 9. Gelenbe, E., and M. Nakip, "Traffic Based Sequential Learning During Botnet Attacks to Identify Compromised IoT Devices", IEEE Access, vol. 10, 10/2022. (1.74 MB) 10. Nakip, M., A. Helva, C. Güzeliş, and V. Rodoplu, "MOSAL: A Subspace Based Forecasting Algorithm for Throughput Maximization in IoT Networks", IEEE Sensors Journal, 11/2022. 11. Gelenbe, E., and M. Nakip, "G-Networks Can Detect Different Types of Cyberattacks", 2022 Mascots: 30th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems, Nice, France, IEEE, 2022. (1.51 MB) 12. Dayı, A. Kerem, V. Rodoplu, M. Nakip, B. Pehlivan, and C. Güzeliş, "Multi-Channel Subset Iteration with Minimal Loss in Available Capacity (MC-SIMLAC) Algorithm for Joint Forecasting-Scheduling in the Internet of Things", Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), vol. 13, issue 2, 06/2022. 13. Gelenbe, E., M. Nakip, and T. Czachórski, "Improving Massive Access to IoT Gateways", Performance Evaluation, 08/2022. 14. Nakip, M., B. Can Gül, V. Rodoplu, and C. Güzeliş, "Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds", IEEE Access, vol. 10, 05/2022. 15. Siavvas, M., E. Gelenbe, D. Tsoukalas, I. Kalouptsoglou, M. Mathioudaki, M. Nakip, D. Kehagias, and D. Tzovaras, "The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview", 18th International Conference on the Design of Reliable Communication Networks (DRCN), Vilanova i la Geltrú, Spain, IEEE, 2022. (1.33 MB) 16. Nakip, M., and E. Gelenbe, "Botnet Attack Detection with Incremental Online Learning", EuroCybersec 2021, Nice, France, Springer, 2022. 17. Gelenbe, E., M. Nakip, D. Marek, and T. Czachórski, "Mitigating the Massive Access Problem in the Internet of Things", EuroCybersec, Nice, France, Springer, 2022. 18. Nakip, M., E. Çakan, V. Rodoplu, and C. Güzeliş, "Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things", Journal of Network and Computer Applications (JNCA), 2022. (1.36 MB) 2021 19. Nakip, M., A. Asut, C. Kocabıyık, and C. Güzeliş, "A Smart Home Demand Response System based on Artificial Neural Networks Augmented with Constraint Satisfaction Heuristic", 13th INTERNATIONAL CONFERENCE on ELECTRICAL and ELECTRONICS ENGINEERING (ELECO), Bursa, Turkey, IEEE, 2021. (387.52 KB) 20. Nakip, M., O. Çopur, and C. Güzeliş, "Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey", ASYU2021 : IEEE, 2021. (1.17 MB) 21. Saylam, A., R. Orhan Cikmazel, N. Kelesoglu, M. Nakip, and V. Rodoplu, "Energy-Efficient Indoor Positioning for Mobile Internet of Things Based on Artificial Intelligence", ASYU2021 : IEEE, 2021. (1.79 MB) 22. Nakip, M., and E. Gelenbe, "MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network", 2021 IEEE Global Communications Conference, Barcelona, IEEE, 7-11 Dec 2021. (857.52 KB) 23. Çakan, E., A. Şahin, M. Nakip, and V. Rodoplu, "Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning", 7th IEEE World Forum on the Internet of Things: IEEE, 2021. (262.85 KB) 24. Nakip, M., K. Karakayali, C. Güzeliş, and V. Rodoplu, "An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things", IEEE Access, 2021. (4.36 MB) 25. Nakip, M., A. Helva, C. Güzeliş, and V. Rodoplu, "Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things", 7th IEEE World Forum on the Internet of Things, New Orleans, IEEE, 2021. (990.8 KB) Pages12następna ›ostatnia »
