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Publikacje

2022

2. 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)
3. Gelenbe, E., M. Nakip, and T. Czachórski, "Improving Massive Access to IoT Gateways", Performance Evaluation, 08/2022.
4. 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.
7. 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)
8. Nakip, M., and E. Gelenbe, "Botnet Attack Detection with Incremental Online Learning", EuroCybersec 2021, Nice, France, Springer, 2022.
11. Gelenbe, E., "NOBEL PRIZE 50 YEARS AGO", EPN, vol. 52, issue 5, 2022.  (334.02 KB)
12. 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)
13. 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)
14. Gelenbe, E., M. P. Nowak, P. Fröhlich, J. Fiolka, and J. Chęciński, "Energy, QoS and Security Aware Edge Services", EuroCybersec 2021, Nice, France, Springer, 2022.  (3.06 MB)
15. Gelenbe, E., P. Pearce, V. Kaptan, Y. Wang, N.S. Walmsley, P. Gardiner, and J. Moffat, "A Dynamic Model for Identifying Enemy Collective Behaviour", 11th ICCRTS Coalition Command and Control in the Networked Era, 2022.  (879.53 KB)

2021

18. 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)
19. 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)
20. Gelenbe, E., and M. Siavvas, "Minimizing Energy and Computation in Long-Running Software", Applied Sciences, vol. 11, issue 3, 2021.  (853.84 KB)
21. Larhammar, D., M. Baghramian, P. Bianucci, G. Brod, D. Dobiáš, E. Gelenbe, R. Bil Kunelius, S. Leonardi, S. Lewandowsky, M. Oosterwege Samenweten, et al., "Fact or Fake? Tackling Science Disinformation", ALLEA General Assembly Paper, Berlin, ALLEA - All European Academies, pp. paper 5, 2021.  (2.37 MB)
22. Fröhlich, P., E. Gelenbe, and M. Nowak, "Reinforcement Learning and Energy-Aware Routing", ACM 4th FlexNets'21 Workshop, ACM SIGCOMM 2021: ACM, 2021.
23. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Time-Dependent Performance of a Multi-Hop Software Defined Network", Applied Sciences, vol. 11, issue 2469, 03/2021.  (1.25 MB)
25. 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)

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