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Publikacje

2019

1. Siavvas, M., and E. Gelenbe, "Optimum checkpoints for programs with loops", Simulation Modelling Practice and Theory, vol. 97, 07/2019.
2. Nalin, M., I. Baroni, G. Faiella, M. Romano, F. Matrisciano, E. Gelenbe, and al. et, "The European cross-border health data exchange roadmap: Case study in the Italian setting", Journal of Biomedical Informatics, vol. On line, 19 April 2019, 103183., 04/2019.
3. Gelenbe, E., and Y. Zhang, "Performance Optimization With Energy Packets", IEEE Systems Journal, 2019.
4. 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.

2018

5. Ferrera, E., C. Pastrone, P-E. Brun, R. De Besombes, K. Loupos, G. Kouloumpis, P. O’Sullivan, A. Papageorgiou, P. Katsoulakos, B. Karakostas, et al., "IoT European Security and Privacy Projects: Integration, Architectures and Interoperability", Next Generation Internet of Things. Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation: River Publishers, 2018.
6. Staffa, M., L. Sgaglione, G. Mazzeo, L. Coppolino, S. D'Antonio, L. Romano, and E. Gelenbe, "An OpenNCP-based Solution for Secure eHealth Data Exchange", JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, vol. 116, pp. 65-85, 08/2018.
7. Kadioglu, Y. Murat, and E. Gelenbe, "Product-Form Solution for Cascade Networks With Intermittent Energy", IEEE Systems Journal, vol. PP, issue 99, pp. 1-10, 08/2018.
8. Gelenbe, E., and Y. Murat Kadioglu, "Energy life-time of wireless nodes with network attacks and mitigation", 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018; Kansas City; United States, Kansas City, MO, USA , IEEE, 07/2018.
9. Brun, O., Y. Yin, and E. Gelenbe, "Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments", The 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018) / The 13th International Conference on Future Networks and Communications (FNC-2018) / Affiliated Workshops, Gran Canaria, Spain , Elsevier, 07/2018.
10. Domańska, J., E. Gelenbe, T. Czachórski, A. Drosou, and D. Tzovaras, "Research and innovation action for the security of the internet of things: The SerIoT project", Communications in Computer and Information Science, vol. 821, London, United Kingdom, Springer, pp. 101-118, 2018.
11. Brun, O., Y. Yin, E. Gelenbe, M. Y. Kadioglu, J. Augusto-Gonzalez, and M. Ramos, "Deep learning with dense random neural networks for detecting attacks against IoT-connected home environments", 1st International Symposia on Computer and Information Sciences, ISCIS 2018, London, United Kingdom, Springer, 07/2018.
12. Staffa, M., L. Coppolino, L. Sgaglione, E. Gelenbe, I. Komnios, E. Grivas, O. Stan, and L. Castaldo, "KONFIDO: An OpenNCP-Based Secure eHealth Data Exchange System", 1st International Symposia on Computer and Information Sciences, ISCIS 2018, London, United Kingdom, Springer, 07/2018.
13. Siavvas, M., E. Gelenbe, D. Kehagias, and D. Tzovaras, "Static Analysis-Based Approaches for Secure Software Development", 1st International Symposia on Computer and Information Sciences, ISCIS 2018, London, United Kingdom, Springer, 07/2018.
14. Gelenbe, E., J. Domańska, T. Czachórski, A. Drosou, and D. Tzovaras, "Security for Internet of Things: The SerIoT Project", 2018 International Symposium on Networks, Computers and Communications (ISNCC), Rome, Italy, IEEE, 2018.
15. Serrano, W., and E. Gelenbe, "The Random Neural Network in a neurocomputing application for Web search", Neurocomputing, vol. 280, pp. 123-134 , 03/2018.
16. Wang, L., and E. Gelenbe, "Adaptive Dispatching of Tasks in the Cloud", IEEE Transactions on Cloud Computing , vol. 6, issue 1, pp. 33-45 , 03/2018.

2017

17. Serrano, W., and E. Gelenbe, "Intelligent search with deep learning clusters", Intelligent Systems Conference (IntelliSys) 2017, London, UK , IEEE , 03/2018, 2017.
18. Gelenbe, E., and Y. Yin, "Deep Learning with Dense Random Neural Networks", International Conference on Man–Machine Interactions, Kraków, Poland, Springer, Cham, 09/2017.
19. Serrano, W., and E. Gelenbe, "The Deep Learning Random Neural Network with a Management Cluster", 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), Vilamoura, Portugal, Springer, Cham, 2017.
20. Du, J., E. Gelenbe, C. Jiang, H. Zhang, Z. Han, and Y. Ren, "Data Transaction Modeling in Mobile Networks: Contract Mechanism and Performance Analysis", IEEE Global Telecommunications Conference, Singapore, Singapore , IEEE, 01/2018, 2017.
21. Du, J., E. Gelenbe, C. Jiang, H. Zhang, and Y. Ren, "Contract Design for Traffic Offloading and Resource Allocation in Heterogeneous Ultra-Dense Networks", IEEE Journal on Selected Areas in Communications, vol. 35, pp. 2457-2467, Nov, 2017.
22. Yin, Y., and E. Gelenbe, "Single-cell based random neural network for deep learning", 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, United States, May 14-19 2017., vol. 2017, Anchorage, United States, IEEE, pp. 86-93, 05/2017.
23. Yin, Y., L. Wang, and E. Gelenbe, "Multi-layer neural networks for quality of service oriented server-state classification in cloud servers", 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, United States, May 14-19 2017., vol. 2017, Anchorage, United States, IEEE, pp. 1623-1627, 05/2017.
24. H. Jiang, L. F. W., RK. Thulasiram, and E. Gelenbe, "Special Issue on Green Pervasive and Ubiquitous Systems", IEEE Systems Journal, vol. 11, issue 2, pp. 806-812, 06/2017.
25. Kadioglu, Y.M., and E. Gelenbe, "Wireless sensor with data and Energy Packets", 2017 IEEE International Conference on Communications Workshops (ICC Workshops 2017), Paris, France, IEEE, 2017.

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