Publications

Found 91 results
Filters: Author is Erol Gelenbe  [Clear All Filters]
2021
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)
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. Modelling, Analysis, and Simulation of Computer and Telecommunication Systems. 12527:79-91. (336.06 KB)
2020
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(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)
Gelenbe E.  2020.  Introduction to the Special Issue on the French-Polish Collaboration in Mathematical Models of Computer Systems, Networks and Bioinformatics. SN Computer Science. 1(1):44:1-44:10. (804.77 KB)
Gelenbe E, Fröhlich P, Nowak M, Papadopoulos S, Protogerou A, Drosou A, Tzovaras D.  2020.  IoT Network Attack Detection and Mitigation. The 9th Mediterranean Conference on Embedded Computing (MECO'2020).  (644.89 KB)
Baldini G, Fröhlich P, Gelenbe E, Hernandez-Ramos JLuis, Nowak M, Nowak S, Papadopoulos S, Drosou A, Tzovaras D.  2020.  IoT Network Risk Assessment and Mitigation: The SerIoT Approach. Security Risk Management for the Internet of Things: Technologies and Techniques for IoT Security, Privacy and Data Protection. :88–104. (998 KB)
Fröhlich P, Gelenbe E.  2020.  Optimal fog services placement in SDN IoT network using Random Neural Networks and Cognitive Network Map. The 19th International Conference on Artificial Intelligence and Soft Computing.  (623.07 KB)
Gelenbe E, Siavvas M, Boryszko P, Domańska J.  2020.  Optimum checkpoints for time and energy. IEEE MASCOTS 2020.  (557.59 KB)
Gelenbe E, Pavloski M..  2020.  Performance of a Security Control Scheme for a Health Data Exchange System. IEEE International Black Sea Conference on Communications and Networking.  (342.61 KB)
Serrano W, Gelenbe E, Yin Y.  2020.  The Random Neural Network with Deep Learning Clusters in Smart Search. Neurocomputing. 396 (2.52 MB)
Gelenbe E, Domańska J, Fröhlich P, Nowak M, Nowak S.  2020.  Self-Aware Networks that Optimize Security, QoS and Energy. Proceedings of the IEEE. 108(7) (5.07 MB)
Gelenbe E, Zhang Y.  2020.  Sharing Energy for Optimal Edge Performance. SOFSEM 2020: Theory and Practice of Computer Science.  (342.1 KB)
Fröhlich P, Gelenbe E, Nowak M.  2020.  Smart SDN Management of Fog Services. Global IoT Summit (GIOTS) 2020.  (256.06 KB)
Czachórski T, Gelenbe E, Marek D.  2020.  Software Defined Network Dynamics via Diffusions. 28th International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2020, revised delected papers. 12527 (447.84 KB)
Czachórski T, Gelenbe E, Kuaban GSuila, Marek D.  2020.  Time Dependent Diffusion Model for Security Driven Software Defined Networks. The Second International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2020). 2792:pp.38-56. (2.29 MB)
Czachórski T, Gelenbe E, Kuaban G, Marek D.  2020.  Time Dependent Diffusion Model for Security Driven Software Defined Networks. Second International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2020). 2792:38-56. (2.06 MB)
Czachórski T, Gelenbe E, Kuaban GSuila, Marek D.  2020.  Transient Behaviour of a Network Router. 43th International Conference on Telecommunications and Signal Processing.  (712.6 KB)
2019
Hussain KF, Bassyouni MYousef, Gelenbe E.  2019.  Accurate and Energy-Efficient Classification with Spiking Random Neural Network: Corrected and Expanded Version. CoRR. abs/1906.08864
Hussain KF, Bassyouni MYousef, Gelenbe E.  2019.  Accurate, Energy-efficient Classification With Spiking Random Neural Network. Probability in the Engineering and Informational Sciences.
Du J, Jiang C, Gelenbe E, Zhang H, Ren Y, Quek TQS.  2019.  Double Auction Mechanism Design for Video Caching in Heterogeneous Ultra-Dense Networks. IEEE Trans. Wireless Communications. 18:1669–1683.
Bi H, Gelenbe E.  2019.  Emergency Management Systems and Algorithms: a Comprehensive Survey. CoRR. abs/1907.04136
Gelenbe E.  2019.  Energy Consumption and Quality of Service in Computer Systems and Networks. 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications DS-RT 2019, Cosenza, Italy, October 7-9, 2019.

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