Security, Modelling and Performance Evaluation Group
Info
Team leader
Team members
Systems Modelling and Performance Evaluation and Security Group (SMaPESG) conducts research on models of computer systems and novel methods of modelling. In the scope of interests of the Group there are mainly models of computer networks. We are engaged in simulation and analytical modelling, both queuing models and other methods. Our experience embraces using of well-established modelling packages, like NS, OmNET++ or PRISM as well as creation of advanced proprietary software working in parallel environments.
Publications
Published
2024
- Filus K.; Domańska J.; Extracting coarse-grained classifiers from large Convolutional Neural Networks; Engineering Applications of Artificial Intelligence; 2024
- Nasereddin M.; Nakip M.; Gelenbe E.; Deep Learning Intrusion Detection and Mitigation of DoS Attacks; 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS24); 2024
- Gelenbe E.; Nakip M.; Siavvas M.; System-wide vulnerability of multi-component software; Computers & Industrial Engineering; 2024
- Pokuciński S.; Filus K.; Mrozek D.; Finding the Perfect Cut: Selection of the Best Cutting Point in Equirectangular Panoramas for Object Detection; International Conference on Knowledge-Based and Intelligent Information & Engineering Systems; 2024
- Machado-Guillen G.; Cruz-Duarte J.; Conant-Pablos S.; Filus K.; Harnessing Machine Learning for Reliable Weather Forecasting: Meteorological Impact on Sustainable Energy in Monterrey; IEEE Congress on Evolutionary Computation; 2024
- Siavvas M.; Tsoukalas D.; Marantos C.; Papadopoulos L.; Lamprakos C.; Matei O.; Strydis C.; Siddiqi M.; Chrobocinski P.; Filus K.; Domańska J.; Avgeriou P.; Ampatzoglou A.; Soudris D.; Chatzigeorgiou A.; Gelenbe E.; Kehagias D.; Tzovaras D.; SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software; Automated Software Engineering; 2024
- Nycz M.; Nycz T.; Czachórski T.; Dropping or Marking: a Review and Evaluation of Existing Fluid-Flow Approximation Models; Bulletin of the Polish Academy of Sciences Technical Sciences; 2024
- Kuaban G.; Czachórski T.; Czekalski P.; Markov Models for Dimensioning and Provisioning of Battery Energy Storage Systems (BESS) for Off-Grid Green Mobile Network Base Station Sites; Proceedings of the st 1 International Conference on Mathematical and Statistical Sciences(ICMSS-1); 2024
- Nwobodo O.; Kuaban G.; Kukuczka T.; Wereszczyński K.; Cyran K.; Analysis of Marker and SLAM-based Tracking for Advanced Augmented Reality (AR)-based Flight Simulation; The International Conference on Computational Science (ICCS 2024); 2024
- Nwobodo O.; Kuaban G.; Kukuczka T.; Kamil; Wereszczyński; Cyran K.; Analysis of Marker and SLAM-based Tracking for Advanced Augmented Reality (AR)-based Flight Simulation; The International Conference on Computational Science; 2024
- Kuaban G.; Gelenbe E.; Czachórski T.; Czekalski P.; Nkemeni V.; Energy Performance of Off-Grid Green Cellular Base Stations; Performance Evaluation; 2024
- Kuaban G.; Czachórski T.; Gelenbe E.; Pecka P.; Nkemeni V.; Czekalski P.; Energy performance of Internet of Things (IoT) networks for pipeline monitoring; 2024 International Wireless Communications and Mobile Computing (IWCMC); 2024
- Kuaban G.; Czachórski T.; Gelenbe E.; Sharma S.; Czekalski P.; A Markov model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption; Proceeding of the 2023 4th International Conference on Communications, Information, Electronic and Energy Systems (CIEES); 2024
- Kuaban G.; Gelenbe E.; Czachórski T.; Czekalski P.; Modelling the Energy Performance of Off-Grid Sustainable Green Cellular Base Stations; 2023 31st International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2023); 2024
- Nakip M.; Gelenbe E.; Online Self-Supervised Deep Learning for Intrusion Detection Systems; IEEE Transactions on Information Forensics and Security; 2024
- Nakip M.; Gül B.; Gelenbe E.; Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection; Modeling, Analysis, and Simulation On Computer and Telecommunication Systems (MASCOTS); 2024
2023
- Kuaban G.; Czekalski P.; Nwobodo O.; Sell R.; Nikitenko A.; Berkolds K.; Tanko K.; Smart Sustainable Agrivoltaics Systems: The Future of Sustainable Agricultural Technology (Agri-tech) and Green Energy; Proc. of the 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023); 2023
- Sobczak Ł.; Filus K.; Halama M.; Domańska J.; Visual examination of relations between known classes for deep neural network classifiers.; 2023 IEEE International Conference on Big Data; 2023
- Filus K.; Domańska J.; NetSat: Network Saturation Adversarial Attack; IEEE International Conference on Big Data (IEEE BigData 2023); 2023
- Halama M.; Filus K.; Domańska J.; Robust category recognition based on deep templates for educational mobile applications; 2023 IEEE International Conference on Big Data; 2023
- Kelesoglu N.; Filus K.; Domańska J.; HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications; 2023 IEEE International Conference on Big Data; 2023