prof. Sami Erol Gelenbe

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0000-0001-9688-2201

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profesor
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2022

26. Nakip, M., and E. Gelenbe, "Botnet Attack Detection with Incremental Online Learning", EuroCybersec 2021, Nice, France, Springer, 2022.
27. Gelenbe, E., M. Nowak, P. Fröhlich, J. Fiolka, and J. Chęciński, "Energy, QoS and Security Aware Edge Services", EuroCybersec 2021: Springer, 2022.  (3.06 MB)
28. 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.
29. Gelenbe, E., M. Nakip, and T. Czachórski, "Improving Massive Access to IoT Gateways", Performance Evaluation, 08/2022.
30. Gelenbe, E., M. Nakip, D. Marek, and T. Czachórski, "Mitigating the Massive Access Problem in the Internet of Things", EuroCybersec, Nice, France, Springer, 2022.
31. 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), Nice, France, IEEE, 2022.  (1.35 MB)
32. 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.
33. Gelenbe, E., J. Marija, K. Dionysios, M. Anna, and V. Andras, "Security in Computer and Information Sciences", Second International Symposium, EuroCybersec 2021, Nice, France, Springer, 2022.
34. 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)
35. 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)

2021

36. Kehagias, D., M. Jankovic, M. Siavvas, and E. Gelenbe, "Investigating the Interaction between Energy Consumption, Quality of Service, Reliability, Security, and Maintainability of Computer Systems and Networks", SN Computer Science , vol. 2, issue 1, 2021.  (981.91 KB)
37. 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)
38. Gelenbe, E., "Renforcer la place des universités européennes dans le concert mondial", Revue des Electriciens et Electroniciens, vol. 2, 2021.  (2.09 MB)
39. Fröhlich, P., E. Gelenbe, and M. Nowak, "Reinforcement Learning and Energy-Aware Routing", ACM 4th FlexNets'21 Workshop, ACM SIGCOMM 2021: ACM, 2021.
40. Gelenbe, E., and M. Siavvas, "Minimizing Energy and Computation in Long-Running Software", Applied Sciences, vol. 11, issue 3, 2021.  (853.84 KB)
41. Siavvas, M., D. Kehagias, D. Tzovaras, and E. Gelenbe, "A hierarchical model for quantifying software security based on static analysis alerts and software metrics", Software Quality Journal, vol. 29, issue 2, 2021.  (3.32 MB)
42. Filus, K., P. Boryszko, J. Domańska, M. Siavvas, and E. Gelenbe, "Efficient Feature Selection for Static Analysis Vulnerability Prediction", Sensors, vol. 21 (4), issue Special Issue: Security and Privacy in Software Based Critical Contexts, 2021.  (1.37 MB)
43. Filus, K., J. Domańska, and E. Gelenbe, "Random Neural Network for Lightweight Attack Detection in the IoT", MASCOTS 2020: Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 79-91, 2021.  (336.06 KB)
44. Filus, K., M. Siavvas, J. Domańska, and E. Gelenbe, "The Random Neural Network as a Bonding Model for Software Vulnerability Prediction", Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 102-116, 2021.  (690.95 KB)
45. Gelenbe, E., "NOBEL PRIZE 50 YEARS AGO", Europhysics News , vol. 52, issue 5, 2021.  (334.02 KB)
46. 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)
47. Fröhlich, P., E. Gelenbe, J. Fiołka, J. Chęciński, M. Nowak, and Z. Filus, "Smart SDN Management of Fog Services to Optimize QoS and Energy", Sensors, vol. 21(9), April 2021.  (2.41 MB)
48. Li, N., X. Hu, E. Ngai, and E. Gelenbe, "Cooperative Wireless Edges with Composite Resource Allocation in Hierarchical Networks", 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM): IEEE, 2021.  (343.95 KB)
49. Gelenbe, E., G. Brasseur, L. Cheffneux, V. Dehant, V. Halloin, J-P. Haton, M. Judkiewicz, B. Rentier, and R. Weikmans, "Réflexions sur la diffusion des connaissances a travers les grands colloques internationaux, les revues scientifiques, et la communication libre et rapide entre chercheurs et innovateurs dans un contexte de reduction de l'empreinte climatique", 1024, Bulletin de la Société Informatique de France, vol. 17, issue 1, 04/2021.  (706.87 KB)
50. Gelenbe, E., G. Brasseur, L. Chefneux, V. Devant, V. Halloin, J-P. Haton, M. Judkiewicz, B. Rentier, and R. Weikmans, "On Sharing Knowledge And Fostering “Open Science”", Ubiquity (ACM Journal), vol. 2021, issue 5, 2021.  (581.63 KB)

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