mgr inż. Mert Nakip

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0000-0002-6723-6494

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2023

1. 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.
2. Nasereddin, M., M. Nakip, and E. Gelenbe, Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed: arXiv, 2023.  (1001.85 KB)
3. 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, Accepted, 2023.  (1.09 MB)
4. Gelenbe, E., and M. Nakip, "Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks", arXiv, 2023.  (1.86 MB)
5. 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, 2023.  (1.51 MB)

2022

6. 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)
7. 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)
8. 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.
9. 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.
10. Gelenbe, E., M. Nakip, and T. Czachórski, "Improving Massive Access to IoT Gateways", Performance Evaluation, 08/2022.
11. 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.
12. 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)
13. Nakip, M., and E. Gelenbe, "Botnet Attack Detection with Incremental Online Learning", EuroCybersec 2021, Nice, France, Springer, 2022.
14. Gelenbe, E., M. Nakip, D. Marek, and T. Czachórski, "Mitigating the Massive Access Problem in the Internet of Things", EuroCybersec, Nice, France, Springer, 2022.
15. 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

16. Nakip, M., and E. Gelenbe, "Randomization of Data Generation Times Improves Performance of Predictive IoT Networks", 7th IEEE World Forum on the Internet of Things, New Orleans, Louisiana, USA, IEEE, 2021.  (968.83 KB)
17. 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)
18. Saylam, A., N. Kelesoglu, R. Orhan Cikmazel, M. Nakip, and V. Rodoplu, "Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning", International Conference on Computer, Information and Telecommunication Systems (CITS), Istanbul, Turkey, IEEE, 2021.  (364.76 KB)
19. Nakip, M., O. Çopur, and C. Güzeliş, "Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey", ASYU2021 : IEEE, 2021.  (1.17 MB)
20. 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)
21. Gelenbe, E., M. Nakip, D. Marek, and T. Czachórski, "Diffusion Analysis Improves Scalability of IoTNetworks to Mitigate the Massive Access Problem", 2021 Mascots: 29th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems, Houston, Texas, USA, IEEE, 11/2021.  (1.99 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)

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