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. Kuaban, G. Suila, T. Czachórski, E. Gelenbe, P. Pecka, V. Nkemeni, and P. Czekalski, Impact of energy leakage on the energy performance of green IoT nodes, Krakow, Poland, IEEE, In Press.
3. Nasereddin, M., and E. Gelenbe, An Examination of IoT Network Layers Security, In Press.

2024

4. Bergquist, J., E. Gelenbe, and K. Sigman, "On an Adaptive-Quasi-Deterministic Transmission Policy Queueing Model", 32nd IEEE MASCOTS'24 Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, October 21-23, 2024, Krakow Poland: IEEEXplore, 2024.  (216.64 KB)
5. Zhou, G., Y. Liu, Z. Yan, and E. Gelenbe, "Is ChatGPT Trustworthy Enough? A Review", IEEE Consumer Electronics Magazine , 2024.  (177.25 KB)
6. Kuaban, G. Suila, T. Czachórski, E. Gelenbe, P. Pecka, S. Sharma, P. Singh, V. Nkemeni, and P. Czekalski, "Energy performance of self-powered Green IoT nodes", Frontiers in Energy Research, 2024.
7. Nasereddin, M., M. Nakip, and E. Gelenbe, "Deep Learning Intrusion Detection and Mitigation of DoS Attacks", 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS24), Krakow, Poland, IEEE, 2024.  (2.84 MB)
8. Gelenbe, E., M. Nakip, and M. Siavvas, "System Wide Vulnerability and Trust in Multi-Component Communication System Software", IEEE Network, 2024.  (3.98 MB)
9. 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, vol. 28, 12/2024.  (2.17 MB)
10. Gelenbe, E., M. Nakip, and M. Siavvas, "System-wide vulnerability of multi-component software", Computers & Industrial Engineering, vol. 196, 10/2024.
11. 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.
12. Kuaban, G. Suila, E. Gelenbe, T. Czachórski, P. Czekalski, and V. Nkemeni, "Energy Performance of Off-Grid Green Cellular Base Stations", Performance Evaluation, 2024.
13. 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, 2024.
14. 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.
15. 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)
16. 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)
17. 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

18. 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.
19. 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)
20. 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)
21. 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)
22. Gelenbe, E., and M. Nakip, "IoT Network Cybersecurity Assessment with the Associated Random Neural Network", IEEE Access, 2023.  (966.17 KB)
23. Gelenbe, E., "Electricity Consumption by ICT: Facts, trends, and measurements", ACM Ubiquity, vol. 2023, issue August, 08/2023.  (3.4 MB)
24. 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)

2022

25. 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)

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