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1. Gelenbe, E., and M. Siavvas, "Minimizing Energy and Computation in Long-Running Software", Applied Sciences, vol. 11, issue 3, 2021.  (853.84 KB)
3. Nakip, M., and E. Gelenbe, "Randomization of Data Generation Times Improves Performance of Predictive IoT Networks", 2021 IEEE World Forum on Internet of Things (WF-IoT), New Orleans, Louisiana, USA, IEEE, 2021.  (968.83 KB)
4. Gelenbe, E., "Renforcer la place des universités européennes dans le concert mondial", Revue des Electriciens et Electroniciens, vol. 2, 2021.  (2.09 MB)
5. 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)
7. 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)
9. 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)
10. Filus, K., J. Domańska, and E. Gelenbe, "Random Neural Network for Lightweight Attack Detection in the IoT", Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 79-91, 2021.  (336.06 KB)
11. 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)
12. 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)


14. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Transient Behaviour of a Network Router", 43th International Conference on Telecommunications and Signal Processing, Milano, Italy, IEEE, 2020.  (712.6 KB)
15. Fröhlich, P., and E. Gelenbe, "Optimal fog services placement in SDN IoT network using Random Neural Networks and Cognitive Network Map", The 19th International Conference on Artificial Intelligence and Soft Computing, Zakopane, Springer, 06/2020.  (623.07 KB)
16. Gelenbe, E., P. Fröhlich, M. Nowak, S. Papadopoulos, A. Protogerou, A. Drosou, and D. Tzovaras, "IoT Network Attack Detection and Mitigation", The 9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, June 2020.  (644.89 KB)
18. Gelenbe, E., and M. Pavloski, "Performance of a Security Control Scheme for a Health Data Exchange System", IEEE International Black Sea Conference on Communications and Networking: IEEE, 05/2020.  (342.61 KB)
19. Gelenbe, E., M. Siavvas, P. Boryszko, and J. Domańska, "Optimum checkpoints for time and energy", IEEE MASCOTS 2020, Nice France, IEEEXpress, 10/2020.  (557.59 KB)
20. Baldini, G., P. Fröhlich, E. Gelenbe, J. Luis Hernandez-Ramos, M. Nowak, S. Nowak, S. Papadopoulos, A. Drosou, and D. Tzovaras, "IoT Network Risk Assessment and Mitigation: The SerIoT Approach", Security Risk Management for the Internet of Things: Technologies and Techniques for IoT Security, Privacy and Data Protection, John Soldatos: Now Publishers, pp. 88–104, 2020.  (998 KB)
21. Serrano, W., E. Gelenbe, and Y. Yin, "The Random Neural Network with Deep Learning Clusters in Smart Search", Neurocomputing, vol. 396, 04/2020.  (2.52 MB)
22. Gelenbe, E., J. Domańska, P. Fröhlich, M. Nowak, and S. Nowak, "Self-Aware Networks that Optimize Security, QoS and Energy", Proceedings of the IEEE, vol. 108, issue 7, July 2020.  (5.07 MB)
23. Czachórski, T., E. Gelenbe, G. Kuaban, and D. Marek, "Time Dependent Diffusion Model for Security Driven Software Defined Networks", Second International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2020), CEUR Workshop Proceedings, vol. 2792, Petrozavodsk, Karelia, Russia,, pp. 38-56, 12/2020.  (2.06 MB)
24. Fröhlich, P., E. Gelenbe, and M. Nowak, "Smart SDN Management of Fog Services", Global IoT Summit (GIOTS) 2020, Dublin, Ireland, IEEE, June 2020.  (256.06 KB)
25. Serrano, W., and E. Gelenbe, "Deep Learning Clusters in the Cognitive Packet Network", Neurocomputing, vol. 396, issue 396, 07/2020.  (4.6 MB)