prof. Erol Gelenbe

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0000-0001-9688-2201

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profesor
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Publikacje
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2025

1. Luo, T., J. Wang, Z. Yan, and E. Gelenbe, "Graph Neural Networks for Trust Evaluation: Criteria, State-of-the-Art, and Future Directions", IEEE Network (Early Access), IEEEXplore, 03/2025.  (1.14 MB)
2. Li, Z., J. Lan, Z. Yan, and E. Gelenbe, "Backdoor attacks and defense mechanisms in federated learning: A survey", Information Fusion , vol. 123, issue 103248 , 05/2025.
3. Gelenbe, E., and M. Nasereddin, "Adaptive attack mitigation for IoV Flood Attacks", IEEE Internet of Things Journal, vol. 12, issue 5, 03/2025.
4. Gelenbe, E., M. Nakip, and M. Siavvas, " E. Gelenbe, M. Nakip, M. Siavvas, System Wide Vulnerability and Trust in Multi-Component Communication System Software", IEEE Network , vol. 39, issue 2, 03/2025.
5. Gelenbe, E., "Minimizing delay and power consumption at the edge", Sensors, vol. 25, issue 2, 02/2025.
6. Yang, M., E. C. H. Ngai, X. Hu, B. Hu, J. Liu, E. Gelenbe, and V. C. M. Leung, "Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection", Proceedings of the IEEE, 2025.  (4.59 MB)

2024

7. Kuaban, G. Suila, E. Gelenbe, T. Czachórski, and P. Czekalski, "Modelling the Energy Performance of Off-Grid Sustainable Green Cellular Base Stations", 2023 31st International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2023), Stony Brook, NY, USA, IEEE, 16/01/2024.  (463.53 KB)
8. 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)
9. 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)
10. 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.
11. 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", 2024 International Wireless Communications and Mobile Computing (IWCMC), Ayia Napa, Cyprus, IEEE, 17/07/2024.
12. Kuaban, G. Suila, E. Gelenbe, T. Czachórski, P. Czekalski, and V. Nkemeni, "Energy Performance of Off-Grid Green Cellular Base Stations", Performance Evaluation, vol. 165, 10/07/2024.
13. 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.
14. Gelenbe, E., M. Nakip, and M. Siavvas, "System-wide vulnerability of multi-component software", Computers & Industrial Engineering, vol. 196, 10/2024.
15. Gelenbe, E., M. Nakip, and M. Siavvas, "System Wide Vulnerability and Trust in Multi-Component Communication System Software", IEEE Network, 2024.  (3.98 MB)
16. Ma, Y., "IoT Performance for Maritime Passenger Evacuation", 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, ON, Canada, IEEE, 11/2024.  (452.07 KB)
17. 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)
18. 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)
19. Zhou, G., Y. Liu, Z. Yan, and E. Gelenbe, "Is ChatGPT Trustworthy Enough? A Review", IEEE Consumer Electronics Magazine , 2024.  (177.25 KB)
20. 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", 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2024), Krakow, Poland, IEEE, 2024.
21. 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)
22. 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, vol. 12, 07/11/2024.

2023

23. 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)
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)
25. 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)

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Data aktualizacji: 07/02/2025 - 12:11; autor zmian: Dorota Danisz (ddanisz@iitis.pl)