prof. Sami Erol Gelenbe

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Orcid ID: 

0000-0001-9688-2201

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profesor
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Publikacje
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Submitted

1. Gelenbe, E., and M. Nakip, "Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks", arXiv, Submitted.  (1.86 MB)

In Press

2. Gelenbe, E., M. Nakip, and M. Siavvas, "System Wide Vulnerability and Trust in Multi-Component Communication System Software", IEEE Network, In Press.
3. Gelenbe, E., B. Can Gül, and M. Nakip, "DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with Online Learning for Health Internet of Things and Internet of Vehicles  ", Internet of Things, In Press.
4. Kuaban, G. Suila, T. Czachórski, E. Gelenbe, P. Pecka, V. Nkemeni, and P. Czekalski, "Energy performance of Internet of Things (IoT) networks for pipeline monitoring", The 20th International Wireless Communications & Mobile Computing Conference: IEEE, In Press.
5. Nasereddin, M., and E. Gelenbe, An Examination of IoT Network Layers Security, In Press.

2024

6. Gelenbe, E., M. Nakip, and M. Siavvas, "System-wide vulnerability of multi-component software", Computers & Industrial Engineering, vol. 196, 10/2024.
7. Siavvas, M., D. Tsoukalas, C. Marantos, L. Papadopoulos, C. Lamprakos, O. Matei, C. Strydis, M. Ali Siddiqi, P. Chrobocinski, K. Filus, et al., "SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software", Automated Software Engineering, 2024.
8. Kuaban, G. Suila, E. Gelenbe, T. Czachórski, P. Czekalski, and V. Nkemeni, "Energy Performance of Off-Grid Green Cellular Base Stations", Performance Evaluation, 2024.
9. Kuaban, G. Suila, T. Czachórski, E. Gelenbe, S. Sharma, and P. Czekalski, "A Markov model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption", Proceeding of the 2023 4th International Conference on Communications, Information, Electronic and Energy Systems (CIEES): IEEE, 2024.
10. Kuaban, G. Suila, E. Gelenbe, T. Czachórski, and P. Czekalski, "Modelling the Energy Performance of Off-Grid Sustainable Green Cellular Base Stations", 31st International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2023): IEEE, 2024.  (463.53 KB)
11. Nakip, M., and E. Gelenbe, "Online Self-Supervised Deep Learning for Intrusion Detection Systems", IEEE Transactions on Information Forensics and Security, vol. 19, 05/2024 .  (6.97 MB)
12. 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

13. Gelenbe, E., and M. Nasereddin, "Protecting IoT Servers Against Flood Attacks with the Quasi Deterministic Transmission Policy", The 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2023), Exeter, UK, IEEE, 2023.  (1.4 MB)
14. Czachórski, T., E. Gelenbe, and G. Suila Kuaban, "Modelling energy changes in the energy harvesting battery of an IoT device", 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2022) pp. 81-88, Nice, France, IEEE Xplore, 03/2023.  (1.35 MB)
15. 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)
16. 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)
17. Kuaban, G. Suila, E. Gelenbe, T. Czachórski, P. Czekalski, and J. Kewir Tangka, "Modelling of the Energy Depletion Process and Battery Depletion Attacks for Battery-Powered Internet of Things (IoT) Devices", sensors, vol. 23, issue 6183, 07/2023.
18. Gelenbe, E., "Electricity Consumption by ICT: Facts, trends, and measurements", ACM Ubiquity, vol. 2023, issue August, 08/2023.  (3.4 MB)
19. Gelenbe, E., and M. Nakip, "IoT Network Cybersecurity Assessment with the Associated Random Neural Network", IEEE Access, 2023.  (966.17 KB)

2022

20. Gelenbe, E., M. Jankovic, D. Kehagias, A. Marton, and A. Vilmos, "Security in Computer and Information Sciences: Second International Symposium", EuroCybersec 2021: Springer Nature, 2022.
21. 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)
22. Gelenbe, E., and K. Sigman, "IoT Traffic Shaping and the Massive Access Problem", ICC 2022, IEEE International Conference on Communications, 16–20 May 2022, Seoul, South Korea, Seoul, South Korea , IEEE Xplore, CC 2022 - IEEE International Conference on Communications, 2022, pp. 2732-2737, 08/2022.
23. Bi, H., and E. Gelenbe, "Searching and Rescuing Victims in Emergency: A Comprehensive Survey", CECNet 2021: IOS Press, 2022.
24. Gelenbe, E., M. P. Nowak, P. Fröhlich, J. Fiolka, and J. Chęciński, "Energy, QoS and Security Aware Edge Services", International ISCIS Security Workshop: Springer, 2022.
25. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Optimizing Energy Usage for an Electric Drone", EuroCybersec 2021, vol. 1596, Nice, France, Springer, 2022.  (434.37 KB)

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Historia zmian

Data aktualizacji: 27/12/2023 - 15:27; autor zmian: Krzysztof Grochla (kil@iitis.pl)