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
2018
- Staffa M.; Coppolino L.; Sgaglione L.; Gelenbe E.; Komnios I.; Grivas E.; Stan O.; Castaldo L.; KONFIDO: An OpenNCP-Based Secure eHealth Data Exchange System; 1st International Symposia on Computer and Information Sciences, ISCIS 2018; 2018
- Brun O.; Yin Y.; Gelenbe E.; Kadioglu M.; Augusto-Gonzalez J.; Ramos M.; Deep learning with dense random neural networks for detecting attacks against IoT-connected home environments; 1st International Symposia on Computer and Information Sciences, ISCIS 2018; 2018
- Domańska J.; Gelenbe E.; Czachórski T.; Drosou A.; Tzovaras D.; Research and innovation action for the security of the internet of things: The SerIoT project; Communications in Computer and Information Science; 2018
- Brun O.; Yin Y.; Gelenbe E.; Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments; The 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018) / The 13th International Conference on Future Networks and Communications (FNC-2018) / Affiliated Workshops; 2018
- Gelenbe E.; Kadioglu Y.; Energy life-time of wireless nodes with network attacks and mitigation; 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018; Kansas City; United States; 2018
- Kadioglu Y.; Gelenbe E.; Product-Form Solution for Cascade Networks With Intermittent Energy; IEEE Systems Journal; 2018
- Staffa M.; Sgaglione L.; Mazzeo G.; Coppolino L.; D'Antonio S.; Romano L.; Gelenbe E.; An OpenNCP-based Solution for Secure eHealth Data Exchange; JOURNAL OF NETWORK AND COMPUTER APPLICATIONS; 2018
- Wang L.; Gelenbe E.; Adaptive Dispatching of Tasks in the Cloud; IEEE Transactions on Cloud Computing ; 2018
- Serrano W.; Gelenbe E.; The Random Neural Network in a neurocomputing application for Web search; Neurocomputing; 2018
2017
- Nycz M.; Nycz T.; Czachórski T.; Performance Modelling of Transmissions in Very Large Network Topologies; Distributed Computer and Communication Networks 20th International Conference, DCCN 2017; 2017
- Józefiok A.; Czachórski T.; Rataj A.; A Queueing Model of an Insurance Database Interactive System, Comparison of Modelling Methods; 5th International Conference on Man - Machine Interactions, ICMMI 2017; 2017
- Grochla K.; Nowak M.; Pecka P.; Nowak S.; Zgrzywa A.; Choroś K.; Siemiński A.; Influence of message-oriented middleware on performance of network management system: a modelling study.; Multimedia and Network Information Systems. ; 2017
- Nowak S.; Nowak M.; Grochla K.; Pecka P.; Gaj P.; Kwiecień A.; Sawicki M.; Application of Fault-Tolerant GQP Algorithm in Multihop AMI Networks; Computer Networks. CN 2017. Communications in Computer and Information Science, vol 718; 2017
- Domańska J.; Domański A.; Czachórski T.; Hidden Markov Models in Long Range Dependence Traffic Modelling; Communications in Computer and Information Science; 2017
- Domański A.; Domańska J.; Czachórski T.; Klamka J.; Self-similarity Traffic and AQM Mechanism Based on Non-integer Order Pi^αD^β Controller; Communications in Computer and Information Science; 2017
- Du J.; Gelenbe E.; Jiang C.; Zhang H.; Han Z.; Ren Y.; Data Transaction Modeling in Mobile Networks: Contract Mechanism and Performance Analysis; IEEE Global Telecommunications Conference; 2017
- Serrano W.; Gelenbe E.; The Deep Learning Random Neural Network with a Management Cluster; 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017); 2017
- Gelenbe E.; Yin Y.; Deep Learning with Dense Random Neural Networks; International Conference on Man–Machine Interactions; 2017
- Serrano W.; Gelenbe E.; Intelligent search with deep learning clusters; Intelligent Systems Conference (IntelliSys) 2017; 2017
- Pankratova E.; Farkhadov M.; Gelenbe E.; Research of Heterogeneous Queueing System SM|M(n)|∞; Communications in Computer and Information Science 16th International Conference, ITMM 2017; 2017
- Kadioglu Y.; Gelenbe E.; Wireless sensor with data and Energy Packets; 2017 IEEE International Conference on Communications Workshops (ICC Workshops 2017); 2017
- Jiang L.; Thulasiram R.; Gelenbe E.; Special Issue on Green Pervasive and Ubiquitous Systems; IEEE Systems Journal; 2017
- Yin Y.; Wang L.; Gelenbe E.; Multi-layer neural networks for quality of service oriented server-state classification in cloud servers; 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, United States, May 14-19 2017.; 2017
- Yin Y.; Gelenbe E.; Single-cell based random neural network for deep learning; 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, United States, May 14-19 2017.; 2017