Publikacje

Found 148 results
Filters: Autor is Erol Gelenbe  [Clear All Filters]
In Press
Nasereddin M, Nakip M, Gelenbe E.  In Press.  Deep Learning Intrusion Detection and Mitigation of DoS Attacks. 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS24).  (2.84 MB)
Gelenbe E, Gül BCan, Nakip M.  In Press.  DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with Online Learning for Health Internet of Things and Internet of Vehicles  . Internet of Things.
Kuaban GSuila, Czachórski T, Gelenbe E, Pecka P, Nkemeni V, Czekalski P.  In Press.  Energy performance of Internet of Things (IoT) networks for pipeline monitoring. The 20th International Wireless Communications & Mobile Computing Conference.
Nasereddin M, Gelenbe E.  In Press.  An Examination of IoT Network Layers Security.
2024
Nakip M, Gül BCan, Gelenbe E.  2024.  Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection. Modeling, Analysis, and Simulation On Computer and Telecommunication Systems (MASCOTS).  (1.06 MB)
Kuaban GSuila, Gelenbe E, Czachórski T, Czekalski P, Nkemeni V.  2024.  Energy Performance of Off-Grid Green Cellular Base Stations. Performance Evaluation.
Kuaban GSuila, Czachórski T, Gelenbe E, Sharma S, Czekalski P.  2024.  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).
Kuaban GSuila, Gelenbe E, Czachórski T, Czekalski P.  2024.  Modelling the Energy Performance of Off-Grid Sustainable Green Cellular Base Stations. 31st International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2023).  (463.53 KB)
Nakip M, Gelenbe E.  2024.  Online Self-Supervised Deep Learning for Intrusion Detection Systems. IEEE Transactions on Information Forensics and Security. 19 (6.97 MB)
Siavvas M, Tsoukalas D, Marantos C, Papadopoulos L, Lamprakos C, Matei O, Strydis C, Siddiqi MAli, Chrobocinski P, Filus K et al..  2024.  SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software. Automated Software Engineering.
Gelenbe E, Nakip M, Siavvas M.  2024.  System Wide Vulnerability and Trust in Multi-Component Communication System Software. IEEE Network.
Gelenbe E, Nakip M, Siavvas M.  2024.  System-wide vulnerability of multi-component software. Computers & Industrial Engineering. 196
2023
Gelenbe E.  2023.  Electricity Consumption by ICT: Facts, trends, and measurements. ACM Ubiquity. 2023(August) (3.4 MB)
Gelenbe E, Nakip M.  2023.  IoT Network Cybersecurity Assessment with the Associated Random Neural Network. IEEE Access.  (966.17 KB)
Nasereddin M, Nakip M, Gelenbe E.  2023.  Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed. The 48th IEEE Conference on Local Computer Networks.  (861.42 KB)
Czachórski T, Gelenbe E, Kuaban GSuila.  2023.  Modelling energy changes in the energy harvesting battery of an IoT device. 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2022) pp. 81-88.  (1.35 MB)
Kuaban GSuila, Gelenbe E, Czachórski T, Czekalski P, Tangka JKewir.  2023.  Modelling of the Energy Depletion Process and Battery Depletion Attacks for Battery-Powered Internet of Things (IoT) Devices. sensors. 23(6183)
Gelenbe E, Nasereddin M.  2023.  Protecting IoT Servers Against Flood Attacks with the Quasi Deterministic Transmission Policy. The 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2023).  (1.4 MB)
Gelenbe E, Nakip M.  2023.  Real-Time Cyberattack Detection with Offline and Online Learning. IEEE International Symposium on Local and Metropolitan Area Networks.  (1.09 MB)

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