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Publikacje

2021

1. 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)
2. 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)
3. 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)

2020

4. 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)
5. 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)
6. 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)
8. 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)
9. 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)
10. 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)
11. 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)
12. 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)
13. 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, CEUR-WS.org, pp. 38-56, 12/2020.  (2.06 MB)
14. 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)
15. Serrano, W., and E. Gelenbe, "Deep Learning Clusters in the Cognitive Packet Network", Neurocomputing, vol. 396, issue 396, 07/2020.  (4.6 MB)
17. Du, J., E. Gelenbe, C. Jiang, Z. Han, and Y. Ren, "Auction-Based Data Transaction in Mobile Networks: Data Allocation Design and Performance Analysis", IEEE Transactions on Mobile Computing, vol. 19, issue 5, 05/2020.  (432.73 KB)
18. Gelenbe, E., and Y. Zhang, "Sharing Energy for Optimal Edge Performance", SOFSEM 2020: Theory and Practice of Computer Science, Chatzigeorgiou A. et al., no. Lecture Notes in Computer Science, vol 12011, Cham, Springer, 2020.  (342.1 KB)
19. Czachórski, T., E. Gelenbe, and D. Marek, "Software Defined Network Dynamics via Diffusions", 28th International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2020, revised delected papers, Computer Communication Networks and Telecommunications, LNCS, vol. 12527, on-line, Springer International Publishing, 12/2020.  (447.84 KB)
20. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Time Dependent Diffusion Model for Security Driven Software Defined Networks", The Second International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2020), vol. 2792, pp. pp. 38-56, 2020.  (2.29 MB)

2019

21. Hussain, K. F., M. Yousef Bassyouni, and E. Gelenbe, "Accurate, Energy-efficient Classification With Spiking Random Neural Network", Probability in the Engineering and Informational Sciences, 05/2019.
22. Augusto-Gonzalez, J., A. Collen, S. Evangelatos, M. Anagnostopoulos, G. Spathoulas, K. M. Giannoutakis, K. Votis, D. Tzovaras, B. Genge, E. Gelenbe, et al., "From Internet of Threats to Internet of Things: A Cyber Security Architecture for Smart Homes", 24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019, Limassol, Cyprus, September 11-13, 2019: IEEE, 2019.
23. Siavvas, M., and E. Gelenbe, "Optimum checkpoints for programs with loops", Simulation Modelling Practice and Theory, vol. 97, 07/2019.
24. Siavvas, M. G., and E. Gelenbe, "Optimum Interval for Application-level Checkpoints", 6th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2019 / 5th IEEE International Conference on Edge Computing and Scalable Cloud, EdgeCom 2019, Paris, France, June 21-23, 2019: IEEE, 2019.
25. Gelenbe, E., "Energy Consumption and Quality of Service in Computer Systems and Networks", 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications DS-RT 2019, Cosenza, Italy, October 7-9, 2019: IEEE, 2019.

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