Publications: Security, Modelling and Performance Evaluation Group

2024

• Gelenbe E.; Nakip M.; Siavvas M.; System Wide Vulnerability and Trust in Multi-Component Communication System Software; IEEE Network ; 2024
• Yang M.; Ngai E.; Hu X.; Hu B.; Liu J.; Gelenbe E.; Leung V.; Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection; Proceedings of the IEEE; 2024
• Ma Y.; Gelenbe E.; Liu K.; IoT Performance for Maritime Passenger Evacuation; 2024 IEEE 10th World Forum on Internet of Things (WF-IoT); 2024
• Ma Y.; Gelenbe E.; Liu K.; Impact of IoT system imperfections and passenger errors on cruise ship evacuation delay; sensors; 2024
• Prehn L.; Foremski P.; Gasser O.; Kirin: Hitting the Internet with Distributed BGP Announcements; ACM Asia Conference on Computer and Communications Security (AsiaCCS 2024); 2024
• Nwobodo O.; Wereszczyński K.; Kuaban G.; SKUROWSKI P.; CYRAN K.; An Adaptation of Fitts’ Law for Performance Evaluation and Optimization of Augmented Reality (AR) Interfaces; IEEE ACCESS; 2024
• Kelesoglu N.; Sobczak Ł.; ZigBeeNet: Decrypted ZigBee IoT Network Traffic Dataset in Smart Home Environment; Applied Sciences; 2024
• Nkemeni V.; Mieyeville F.; Kuaban G.; Czekalski P.; Tokarz K.; Nsanyuy W.; Djomadji E.; Katche M.; Tsafack P.; Zieliński B.; Evaluation of Green Strategies for Prolonging the Lifespan of Linear Wireless Sensor Networks; Sensors; 2024
• Bergquist J.; Gelenbe E.; Sigman K.; On an Adaptive-Quasi-Deterministic Transmission Policy Queueing Model; 32nd IEEE MASCOTS'24 Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, October 21-23, 2024, Krakow Poland; 2024
• Zhou G.; Liu Y.; Yan Z.; Gelenbe E.; Is ChatGPT Trustworthy Enough? A Review; IEEE Consumer Electronics Magazine ; 2024
• Kuaban G.; Czachórski T.; Gelenbe E.; Pecka P.; Nkemeni V.; Czekalski P.; Impact of energy leakage on the energy performance of green IoT nodes; 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2024); 2024
• Kuaban G.; Czachórski T.; Gelenbe E.; Pecka P.; Sharma S.; Singh P.; Nkemeni V.; Czekalski P.; Energy performance of self-powered Green IoT nodes; Frontiers in Energy Research; 2024
• Kuaban G.; Nkemeni V.; Nwobodo O.; Czekalski P.; Mieyeville F.; Internet of Things Adoption in Technology Ecosystems within the Central African Region: The Case of Silicon Mountain; Future Internet; 2024
• Filus K.; Domańska J.; Similarity-driven adversarial testing of neural networks; Knowledge-Based Systems; 2024
• Filus K.; Domańska J.; Klamka J.; Evaluating Convolutional Neural Networks via measuring similarity of their first-layer filters and Gabor filters; 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems; 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.; Gül B.; Nakip M.; DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with Online Learning for Health Internet of Things and Internet of Vehicles  ; Internet of Things; 2024
• Gelenbe E.; Nakip M.; Siavvas M.; System-wide vulnerability of multi-component software; Computers & Industrial Engineering; 2024
• Nakip M.; Kelesoglu N.; Güzeliş C.; Fire Detection and Risk Assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization; Applied Soft Computing; 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