Erol Gelenbe
2022
- Gelenbe E.; Nakip M.; Czachórski T.; Improving Massive Access to IoT Gateways; Performance Evaluation; 2022
- Siavvas M.; Gelenbe E.; Tsoukalas D.; Kalouptsoglou I.; Mathioudaki M.; Nakip M.; Kehagias D.; Tzovaras D.; The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview; 18th International Conference on the Design of Reliable Communication Networks (DRCN); 2022
- Nakip M.; Gelenbe E.; Botnet Attack Detection with Incremental Online Learning; EuroCybersec 2021; 2022
- Gelenbe E.; Nakip M.; Marek D.; Czachórski T.; Mitigating the Massive Access Problem in the Internet of Things; EuroCybersec; 2022
- Marantos C.; Siavvas M.; Tsoukalas D.; Lamprakos C.; Papadopoulos L.; Boryszko P.; Filus K.; Domańska J.; Ampatzoglou A.; Chatzigeorgiou A.; Gelenbe E.; Kehagias D.; Soudris D.; SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications; 25th Design, Automation and Test in Europe Conference; 2022
2021
- Byrski A.; Czachórski T.; Gelenbe E.; Grochla K.; Murayama Y.; Computer Science Protecting Human Society Against Epidemics; ANTICOVID 2021; 2021
- Gelenbe E.; NOBEL PRIZE 50 YEARS AGO; Europhysics News ; 2021
- Gelenbe E.; Nakip M.; Marek D.; Czachórski T.; Diffusion Analysis Improves Scalability of IoTNetworks to Mitigate the Massive Access Problem; 2021 Mascots: 29th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems; 2021
- Nakip M.; Gelenbe E.; MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network; 2021 IEEE Global Communications Conference; 2021
- Fröhlich P.; Gelenbe E.; Nowak M.; Reinforcement Learning and Energy-Aware Routing; ACM 4th FlexNets'21 Workshop, ACM SIGCOMM 2021; 2021
- Siavvas M.; Kehagias D.; Tzovaras D.; Gelenbe E.; A hierarchical model for quantifying software security based on static analysis alerts and software metrics; Software Quality Journal; 2021
- Gelenbe E.; Brasseur G.; Chefneux L.; Devant V.; Halloin V.; Haton J.; Judkiewicz M.; Rentier B.; Weikmans R.; On Sharing Knowledge And Fostering “Open Science”; Ubiquity (ACM Journal); 2021
- Larhammar D.; Baghramian M.; Bianucci P.; Brod G.; Dobiáš D.; Gelenbe E.; Kunelius R.; Leonardi S.; Lewandowsky S.; Samenweten M.; Powell A.; Suiter J.; Fact or Fake? Tackling Science Disinformation; ALLEA General Assembly Paper; 2021
- Li N.; Hu X.; Ngai E.; Gelenbe E.; Cooperative Wireless Edges with Composite Resource Allocation in Hierarchical Networks; 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM); 2021
- Gelenbe E.; Renforcer la place des universités européennes dans le concert mondial; Revue des Electriciens et Electroniciens; 2021
- Nakip M.; Gelenbe E.; Randomization of Data Generation Times Improves Performance of Predictive IoT Networks; 7th IEEE World Forum on the Internet of Things; 2021
- Gelenbe E.; Brasseur G.; Cheffneux L.; Dehant V.; Halloin V.; Haton J.; Judkiewicz M.; Rentier B.; Weikmans R.; 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; 2021
- Gelenbe E.; Siavvas M.; Minimizing Energy and Computation in Long-Running Software; Applied Sciences; 2021
- Czachórski T.; Gelenbe E.; Kuaban G.; Marek D.; Time-Dependent Performance of a Multi-Hop Software Defined Network; Applied Sciences; 2021
- Filus K.; Domańska J.; Gelenbe E.; Random Neural Network for Lightweight Attack Detection in the IoT; MASCOTS 2020: Modelling, Analysis, and Simulation of Computer and Telecommunication Systems; 2021
- Filus K.; Siavvas M.; Domańska J.; Gelenbe E.; The Random Neural Network as a Bonding Model for Software Vulnerability Prediction; Modelling, Analysis, and Simulation of Computer and Telecommunication Systems; 2021