Gelenbe E, Nakip M.  In Press.  G-Networks that Detect Different Types of Cyberattacks. Mascots 2022.

Gelenbe E, Nakip M, Czachórski T.  In Press.  Improving Massive Access to IoT Gateway. Performance Evaluation.

Czachórski T, Gelenbe E, Kuaban GSuila.  In Press.  Modelling energy changes in the energy harvesting battery of an IoT device. Mascots 2022.  (1.35 MB)

Nakip M, Gelenbe E.  2022.  Botnet Attack Detection with Incremental Online Learning. EuroCybersec 2021.

Siavvas M, Gelenbe E, Tsoukalas D, Kalouptsoglou I, Mathioudaki M, Nakip M, Kehagias D, Tzovaras D.  2022.  The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview.

Gelenbe E, Nakip M, Marek D, Czachórski T.  2022.  Mitigating the Massive Access Problem in the Internet of Things. EuroCybersec 2021.

Li N, Hu X, Ngai E, Gelenbe E.  2021.  Cooperative Wireless Edges with Composite Resource Allocation in Hierarchical Networks. 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM).  (343.95 KB)

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)

Larhammar D, Baghramian M, Bianucci P, Brod G, Dobiáš D, Gelenbe E, Kunelius RBil, Leonardi S, Lewandowsky S, Samenweten MOosterwege et al..  2021.  Fact or Fake? Tackling Science Disinformation ALLEA General Assembly Paper. :paper5. (2.37 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)

Gelenbe E.  2021.  NOBEL PRIZE 50 YEARS AGO. Europhysics News . 52(5) (334.02 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. MASCOTS 2020: Modelling, Analysis, and Simulation of Computer and Telecommunication Systems. 12527:79-91. (336.06 KB)

Nakip M, Gelenbe E.  2021.  Randomization of Data Generation Times Improves Performance of Predictive IoT Networks. 7th IEEE World Forum on the Internet of Things.  (968.83 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)

Fröhlich P, Gelenbe E, Nowak M.  2021.  Reinforcement Learning and Energy-Aware Routing. ACM 4th FlexNets'21 Workshop, ACM SIGCOMM 2021.

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

Gelenbe E, Brasseur G, Chefneux L, Devant V, Halloin V, Haton J-P, Judkiewicz M, Rentier B, Weikmans R.  2021.  On Sharing Knowledge And Fostering “Open Science”. Ubiquity (ACM Journal). 2021(5) (581.63 KB)

Fröhlich P, Gelenbe E, Fiołka J, Chęciński J, Nowak M, Filus Z.  2021.  Smart SDN Management of Fog Services to Optimize QoS and Energy. Sensors. 21(9) (2.41 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)

Thampi SM, Gelenbe E, Atiquzzaman M, Chaudhary V, Li K-C.  2020.  Advances in Computing and Network Communications. 1

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 (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)