Filus K, Boryszko P, Domańska J, Siavvas M, Gelenbe E.  2021.  Efficient Feature Selection for Static Analysis Vulnerability Prediction. Sensors. 21 (4)(Special Issue: Security and Privacy in Software Based Critical Contexts) (1.37 MB)

Kehagias D, Jankovic M, Siavvas M, Gelenbe E.  2021.  Investigating the Interaction between Energy Consumption, Quality of Service, Reliability, Security, and Maintainability of Computer Systems and Networks. SN Computer Science . 2(1) (981.91 KB)

Gelenbe E, Siavvas M.  2021.  Minimizing Energy and Computation in Long-Running Software. Applied Sciences. 11(3) (853.84 KB)

Filus K, Siavvas M, Domańska J, Gelenbe E.  2021.  The Random Neural Network as a Bonding Model for Software Vulnerability Prediction. Modelling, Analysis, and Simulation of Computer and Telecommunication Systems. 12527:102-116. (690.95 KB)

Filus K, Domańska J, Gelenbe E.  2021.  Random Neural Network for Lightweight Attack Detection in the IoT. Modelling, Analysis, and Simulation of Computer and Telecommunication Systems. 12527:79-91. (336.06 KB)

Nakıip M, Gelenbe E.  2021.  Randomization of Data Generation Times Improves Performance of Predictive IoT Networks. 2021 IEEE World Forum on Internet of Things (WF-IoT).  (936.74 KB)

Gelenbe E, Brasseur G, Cheffneux L, Dehant V, Halloin V, Haton J-P, Judkiewicz M, Rentier B, Weikmans R.  2021.  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. 17(1) (706.87 KB)

Gelenbe E.  2021.  Renforcer la place des universités européennes dans le concert mondial. Revue des Electriciens et Electroniciens. 2 (2.09 MB)

Czachórski T, Gelenbe E, Kuaban GSuila, Marek D.  2021.  Time-Dependent Performance of a Multi-Hop Software Defined Network. Applied Sciences. 11(2469) (1.25 MB)

Du J, Gelenbe E, Jiang C, Han Z, Ren Y.  2020.  Auction-Based Data Transaction in Mobile Networks: Data Allocation Design and Performance Analysis. IEEE Transactions on Mobile Computing. 19(5) (432.73 KB)

Serrano W, Gelenbe E.  2020.  Deep Learning Clusters in the Cognitive Packet Network. Neurocomputing. 396(396) (4.6 MB)

Bi H, Gelenbe E, Chen Y.  2020.  Incentive mechanism for collective coordination in an urban intelligent transportation system using G-networks. IEEE MASCOTS 2020.  (1.32 MB)

Gelenbe E.  2020.  Introduction to the Special Issue on the French-Polish Collaboration in Mathematical Models of Computer Systems, Networks and Bioinformatics. SN Computer Science. 1(1):44:1-44:10. (804.77 KB)

Gelenbe E, Fröhlich P, Nowak M, Papadopoulos S, Protogerou A, Drosou A, Tzovaras D.  2020.  IoT Network Attack Detection and Mitigation. The 9th Mediterranean Conference on Embedded Computing (MECO'2020).  (644.89 KB)

Baldini G, Fröhlich P, Gelenbe E, Hernandez-Ramos JLuis, Nowak M, Nowak S, Papadopoulos S, Drosou A, Tzovaras D.  2020.  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. :88–104. (998 KB)

Fröhlich P, Gelenbe E.  2020.  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.  (623.07 KB)

Gelenbe E, Siavvas M, Boryszko P, Domańska J.  2020.  Optimum checkpoints for time and energy. IEEE MASCOTS 2020.  (557.59 KB)

Gelenbe E, Pavloski M..  2020.  Performance of a Security Control Scheme for a Health Data Exchange System. IEEE International Black Sea Conference on Communications and Networking.  (342.61 KB)

Serrano W, Gelenbe E, Yin Y.  2020.  The Random Neural Network with Deep Learning Clusters in Smart Search. Neurocomputing. 396 (2.52 MB)

Gelenbe E, Domańska J, Fröhlich P, Nowak M, Nowak S.  2020.  Self-Aware Networks that Optimize Security, QoS and Energy. Proceedings of the IEEE. 108(7) (5.07 MB)

Gelenbe E, Zhang Y.  2020.  Sharing Energy for Optimal Edge Performance. SOFSEM 2020: Theory and Practice of Computer Science.  (342.1 KB)

Fröhlich P, Gelenbe E, Nowak M.  2020.  Smart SDN Management of Fog Services. Global IoT Summit (GIOTS) 2020.  (256.06 KB)

Czachórski T, Gelenbe E, Marek D.  2020.  Software Defined Network Dynamics via Diffusions. 28th International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2020, revised delected papers. 12527 (447.84 KB)

Czachórski T, Gelenbe E, Kuaban G, Marek D.  2020.  Time Dependent Diffusion Model for Security Driven Software Defined Networks. Second International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2020). 2792:38-56. (2.06 MB)

Czachórski T, Gelenbe E, Kuaban GSuila, Marek D.  2020.  Time Dependent Diffusion Model for Security Driven Software Defined Networks. The Second International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2020). 2792:pp.38-56. (2.29 MB)