Horizontal Tabs



In Press

2. Nakip, M., and E. Gelenbe, "Online Self-Supervised Deep Learning for Intrusion Detection Systems", IEEE Transactions on Information Forensics and Security, In Press.  (6.97 MB)


4. 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)


6. 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)
7. 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)


9. 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)
12. 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)
13. 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.
14. Gelenbe, E., M. Nakip, and T. Czachórski, "Improving Massive Access to IoT Gateways", Performance Evaluation, 08/2022.
16. 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)
17. Nakip, M., and E. Gelenbe, "Botnet Attack Detection with Incremental Online Learning", EuroCybersec 2021, Nice, France, Springer, 2022.


20. 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)
23. 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)
24. 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)


Historia zmian

Data aktualizacji: 21/02/2024 - 13:14; autor zmian: Mert Nakip (mnakip@iitis.pl)