Zespół Modelowania, Oceny Efektywności i Bezpieczeństwa Systemów Komputerowych

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Członkowie zespołu: 

Submitted

In Press

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, 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)

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)
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)
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)
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, Czachórski T, Czekalski P.  2024.  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).  (272.73 KB)
Nycz M, Nycz T, Czachórski T.  2024.  Dropping or Marking: a Review and Evaluation of Existing Fluid-Flow Approximation Models. Bulletin of the Polish Academy of Sciences Technical Sciences. 72(early accass) (2.91 MB)
Gelenbe E, Nakip M, Siavvas M.  2024.  System-wide vulnerability of multi-component software. Computers & Industrial Engineering. 196
Filus K, Domańska J.  2024.  Extracting coarse-grained classifiers from large Convolutional Neural Networks. Engineering Applications of Artificial Intelligence.
Filus K, Domańska J, Klamka J.  2024.  Evaluating Convolutional Neural Networks via measuring similarity of their first-layer filters. 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.

2023

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)
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)
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)
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.  2023.  Electricity Consumption by ICT: Facts, trends, and measurements. ACM Ubiquity. 2023(August) (3.4 MB)
Filus K, Domańska J.  2023.  Recycling of Generic ImageNet-trained Models for Smart-city Applications. The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA).
Filus K, Domańska J.  2023.  NetSat: Network Saturation Adversarial Attack. IEEE International Conference on Big Data (IEEE BigData 2023).

2022

Filus K, Domańska J.  2022.  NAM: What Does a Neural Network See? International Joint Conference on Neural Networks (IJCNN 2022), IEEE WCCI 2022.
Marek D, Domański A, Domańska J, Szyguła J, Czachórski T, Klamka J, Filus K.  2022.  Approximation Models for the Evaluation of TCP/AQM Networks. Bulletin of the Polish Academy of Sciences, Technical Sciences (BPASTS). 70(4)
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. 18th International Conference on the Design of Reliable Communication Networks (DRCN).  (1.33 MB)
Gelenbe E, Nakip M.  2022.  G-Networks Can Detect Different Types of Cyberattacks. 2022 Mascots: 30th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems.  (1.51 MB)
Gelenbe E, Sigman K.  2022.  IoT Traffic Shaping and the Massive Access Problem. ICC 2022, IEEE International Conference on Communications, 16–20 May 2022, Seoul, South Korea.
Gelenbe E, Nowak MP, Fröhlich P, Fiolka J, Chęciński J.  2022.  Energy, QoS and Security Aware Edge Services. International ISCIS Security Workshop.
Czachórski T, Gelenbe E, Kuaban GSuila, Marek D.  2022.  Optimizing Energy Usage for an Electric Drone. EuroCybersec 2021. 1596 (434.37 KB)
Czachórski T, Gelenbe E, Kuaban GSuila.  2022.  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).  (1.35 MB)
Gelenbe E.  2022.  NOBEL PRIZE 50 YEARS AGO. EPN. 52(5) (334.02 KB)
Gelenbe E, Pearce P, Kaptan V., Wang Y, Walmsley N.S, Gardiner P., Moffat J..  2022.  A Dynamic Model for Identifying Enemy Collective Behaviour. 11th ICCRTS Coalition Command and Control in the Networked Era.  (879.53 KB)
Gelenbe E, Marija J, Dionysios K, Anna M, Andras V.  2022.  Security in Computer and Information Sciences. Second International Symposium, EuroCybersec 2021.
Czachórski T, Gelenbe E, Kuaban GSuila, Marek D.  2022.  Optimizing Energy Usage for an Electric Drone. EuroCybersec 2021: Security in Computer and Information Sciences. 1596:61–75. (434.37 KB)

2021

Szyguła J, Domański A, Domańska J, Czachórski T, Klamka J, Marek D.  2021.  The IoT Gateway with Active Queue Management. International Journal of Applied Mathematics and Computer Science (AMCS). 31(1)
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)
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)
Gelenbe E, Siavvas M.  2021.  Minimizing Energy and Computation in Long-Running Software. Applied Sciences. 11(3) (853.84 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.  2021.  Renforcer la place des universités européennes dans le concert mondial. Revue des Electriciens et Electroniciens. 2 (2.09 MB)
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)
Sobczak Ł, Filus K, Domański A, Domańska J.  2021.  LIDAR Point Cloud generation for SLAM algorithm evaluation. Sensors. 21 (10)(Special Issue: Advance in Sensors and Sensing Systems for Driving and Transportation: Part B)
Fröhlich P, Gelenbe E, Nowak M.  2021.  Reinforcement Learning and Energy-Aware Routing. ACM 4th FlexNets'21 Workshop, ACM SIGCOMM 2021.
Szyguła J, Domański A, Domańska J, Marek D, Filus K, Mendla S.  2021.  Supervised learning of Neural Networks for Active Queue Management in the Internet. Sensors. 21(15)(Special Issue "Mathematical Modelling and Analysis in Sensors Networks")
Nakip M, Gelenbe E.  2021.  MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network. 2021 IEEE Global Communications Conference.  (857.52 KB)
Gelenbe E, Nakip M, Marek D, Czachórski T.  2021.  Diffusion Analysis Improves Scalability of IoTNetworks to Mitigate the Massive Access Problem. 2021 Mascots: 29th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems.  (1.99 MB)
Atmaca T, Kamli A, Kuaban GSuila, Czachórski T.  2021.  Performance Evaluation of the Packet Aggregation Mechanism of an N-GREEN Metro Network Node. Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) Workshop 2020.  (1.1 MB)
Gelenbe E.  2021.  NOBEL PRIZE 50 YEARS AGO. Europhysics News . 52(5) (334.02 KB)

2020

Szyguła J, Domański A, Domańska J, Czachórski T, Marek D, Klamka J.  2020.   AQM mechanism with neuron tuning parameters. 12th Asian Conference on Intelligent Information and Database Systems, Phuket, Thailand.
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, 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)
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)
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, Nowak M.  2020.  Smart SDN Management of Fog Services. Global IoT Summit (GIOTS) 2020.  (256.06 KB)
Gelenbe E, Zhang Y.  2020.  Sharing Energy for Optimal Edge Performance. SOFSEM 2020: Theory and Practice of Computer Science.  (342.1 KB)
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)
Gelenbe E, Siavvas M, Boryszko P, Domańska J.  2020.  Optimum checkpoints for time and energy. IEEE MASCOTS 2020.  (557.59 KB)
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)
Serrano W, Gelenbe E.  2020.  Deep Learning Clusters in the Cognitive Packet Network. Neurocomputing. 396 (4.6 MB)
Atmaca T, Kamli A, Kuaban G, Czachórski T.  2020.  Performance Evaluation of the Packet Aggregation Mechanism of an N-GREEN Metro Network Node. Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, 28th International Symposium, MASCOTS 2020, Nice, France, November 17–19, 2020, Revised Selected Papers. 12527
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)

2019

Gelenbe E, Zhang Y.  2019.  Performance Optimization With Energy Packets. IEEE Systems Journal.
Hussain KF, Bassyouni MYousef, Gelenbe E.  2019.  Accurate, Energy-efficient Classification With Spiking Random Neural Network. Probability in the Engineering and Informational Sciences.
Siavvas M, Gelenbe E.  2019.  Optimum checkpoints for programs with loops. Simulation Modelling Practice and Theory. 97
Foremski P.  2019.  DNS Observatory: The Big Picture of the DNS. ACM Internet Measurement Conference 2019.
Foremski P, Gasser O, Moura G.  2019.  DNS Observatory: The Big Picture of the DNS. ACM Internet Measurement Conference 2019.
Nowak M, Nowak S, Domańska J.  2019.  Cognitive Routing for Improvement of IoT Security. 2019 IEEE International Conference on Fog Computing ICFC.
Czachórski T, Grochla K.  2019.  Diffusion Approximation Models for Cloud Computations with Task Migrations. 2019 IEEE International Conference on Fog Computing (ICFC).
Kadioglu YMurat, Gelenbe E.  2019.  Product-Form Solution for Cascade Networks With Intermittent Energy. IEEE Systems Journal. 13:918–927. (638.93 KB)
Du J, Gelenbe E, Jiang C, Zhang H, Ren Y, H. Poor V.  2019.  Peer Prediction-Based Trustworthiness Evaluation and Trustworthy Service Rating in Social Networks. IEEE Trans. Information Forensics and Security. 14:1582–1594. (9.62 MB)
Augusto-Gonzalez J, Collen A, Evangelatos S., Anagnostopoulos M., Spathoulas G, Giannoutakis KM, Votis K, Tzovaras D, Genge B., Gelenbe E et al..  2019.  From Internet of Threats to Internet of Things: A Cyber Security Architecture for Smart Homes. 24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2019, Limassol, Cyprus, September 11-13, 2019.
Siavvas MG, Gelenbe E.  2019.  Optimum Interval for Application-level Checkpoints. 6th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2019 / 5th IEEE International Conference on Edge Computing and Scalable Cloud, EdgeCom 2019, Paris, France, June 21-23, 2019.
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.
Diamantopoulos S, Nalin M, Baroni I, Clemente F, Faiella G, Mesaritakis C, Grivas E, Rasmussen J, Petersen J, Cano I et al..  2019.  Secure Cross-Border Exchange of Health Related Data: The KONFIDO Approach. 15th European Dependable Computing Conference, EDCC 2019, Naples, Italy, September 17-20, 2019.
Frötscher A, Monschiebl B, Drosou A, Gelenbe E, Reed MJ, Al-Naday MF.  2019.  Improve cybersecurity of C-ITS Road Side Infrastructure Installations: the SerIoT - Secure and Safe IoT approach. 2019 IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019, Graz, Austria, November 4-8, 2019.
Diamantopoulos S, Karamitros D, Romano L, Coppolino L, Koutkias V, Votis K, Stan O, Campegiani P, Martinez DMari, Nalin M et al..  2019.  Secure Cross-Border Exchange of Health Related Data: The KONFIDO Approach. Internet and Distributed Computing Systems - 12th International Conference, IDCS 2019, Naples, Italy, October 10-12, 2019, Proceedings.
Czachórski T, Kuaban GSuila, Nycz T.  2019.  Multichannel Diffusion Approximation Models for the Evaluation of Multichannel Communication Networks. Distributed Computer and Communication Networks - 22nd International Conference, DCCN 2019, Moscow, Russia, September 23-27, 2019, Revised Selected Papers.
Bi H, Gelenbe E.  2019.  A Survey of Algorithms and Systems for Evacuating People in Confined Spaces. Electronics — Open Access Journal. vol. 8 (2.91 MB)

2018

Wang L., Gelenbe E.  2018.  Adaptive Dispatching of Tasks in the Cloud. IEEE Transactions on Cloud Computing . 6(1):33-45.
Staffa M, Sgaglione L, Mazzeo G, Coppolino L, D'Antonio S, Romano L, Gelenbe E.  2018.  An OpenNCP-based Solution for Secure eHealth Data Exchange. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS. 116:65-85.
Gelenbe E, Kadioglu YMurat.  2018.  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.
Brun O, Yin Y, Gelenbe E.  2018.  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.
Staffa M, Coppolino L, Sgaglione L, Gelenbe E, Komnios I, Grivas E, Stan O, Castaldo L.  2018.  KONFIDO: An OpenNCP-Based Secure eHealth Data Exchange System. 1st International Symposia on Computer and Information Sciences, ISCIS 2018.
Siavvas M, Gelenbe E, Kehagias D, Tzovaras D.  2018.  Static Analysis-Based Approaches for Secure Software Development. 1st International Symposia on Computer and Information Sciences, ISCIS 2018.
Domańska J, Nowak M, Nowak S, Czachórski T.  2018.  European Cybersecurity Research and the SerIoT Project. Communications in Computer and Information Science . 935:166-173.
Domański A, Domańska J, Czachórski T, Klamka J, Marek D, Szyguła J.  2018.  GPU Accelerated Non-integer Order PI^αD^β Controller Used as AQM Mechanism. Communications in Computer and Information Science. 860:286-299.
Gelenbe E, Domańska J, Czachórski T, Drosou A, Tzovaras D.  2018.  Security for Internet of Things: The SerIoT Project. 2018 International Symposium on Networks, Computers and Communications (ISNCC).
Czachórski T.  2018.  Models of traffic control in large Internet topologies, invited talk. The 8th International Conference on Electronics, Communications and Networks (CECNet 2018) Bangkok, Thailand, November 16-19th, 2018.
Czachórski T.  2018.  Queueing Models for Performance Evaluation of Computer Networks - Transient State Analysis, invited talk . 2018 International Conference on Sensor Networks and Signal Processing (SNSP 2018).
Czachórski T.  2018.  Queueing models of traffic control and performance evaluation in large Internet topologies, key-note talk. XIII International Scientific and Technical Conference, Computer Science and Information Technologies.
Czachórski T.  2018.  Metoda sterowania natężeniem ruchu w Internecie, referat zaproszony. XXI Krajowa Konferencja Automatyzacji Procesów Dyskretnych.
Suila GKuaban, Anyam E, Czachórski T, Rataj A.  2018.  Performance of a buffer between electronic and all-optical networks, diffusion approximation model. 32nd International Symposium on Computer and Information Sciences In Conjunction with the IFIP World Congress 2018.
Ferrera E, Pastrone C, Brun P-E, De Besombes R, Loupos K, Kouloumpis G, O’Sullivan P, Papageorgiou A, Katsoulakos P, Karakostas B et al..  2018.  IoT European Security and Privacy Projects: Integration, Architectures and Interoperability. Next Generation Internet of Things. Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation.
Collen A, Nijdam NA, Augusto-Gonzalez J, Katsikas SK, Giannoutakis KM, Spathoulas G, Gelenbe E, Votis K, Tzovaras D, Ghavami N. et al..  2018.  GHOST - Safe-Guarding Home IoT Environments with Personalised Real-Time Risk Control. Security in Computer and Information Sciences - First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, London, UK, February 26-27, 2018, Revised Selected Papers.
Grenet I, Yin Y, Comet J-P, Gelenbe E.  2018.  Machine Learning to Predict Toxicity of Compounds. Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I.
Gelenbe E, Kadioglu YMurat.  2018.  Energy Life-Time of Wireless Nodes with Network Attacks and Mitigation. 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018, Kansas City, MO, USA, May 20-24, 2018.
Akinwande OJ, Gelenbe E.  2018.  A Reinforcement Learning Approach to Adaptive Forwarding in Named Data Networking. Computer and Information Sciences - 32nd International Symposium, ISCIS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 20-21, 2018, Proceedings.
Du J, Jiang C, Gelenbe E, Han Z, Ren Y, Guizani M.  2018.  Networked Data Transaction in Mobile Networks: A Prediction-based Approach Using Auction. 14th International Wireless Communications & Mobile Computing Conference, IWCMC 2018, Limassol, Cyprus, June 25-29, 2018.
Du J, Gelenbe E, Jiang C, Han Z, Ren Y, Guizani M.  2018.  Cognitive Data Allocation for Auction-based Data Transaction in Mobile Networks. 14th International Wireless Communications & Mobile Computing Conference, IWCMC 2018, Limassol, Cyprus, June 25-29, 2018.
Kuaban GSuila, Czachórski T, Rataj A.  2018.  A Queueing Model of the Edge Node in IP over All-Optical Networks. 25th International Conference on Computer Networks.
Kuaban GSuila, Anyam E, Czachórski T, Rataj A.  2018.  Performance of a buffer between electronic and all-optical networks, diffusion approximation model. 32nd International Symposium on Computer and Information Sciences In Conjunction with the IFIP World Congress 2018.  (250.54 KB)

2017

Yin Y., Gelenbe E.  2017.  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.. 2017:86-93.
Yin Y., Wang L., Gelenbe E.  2017.  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.. 2017:1623-1627.
Kadioglu Y.M., Gelenbe E.  2017.  Wireless sensor with data and Energy Packets. 2017 IEEE International Conference on Communications Workshops (ICC Workshops 2017).
Pankratova E., Farkhadov M., Gelenbe E.  2017.  Research of Heterogeneous Queueing System SM|M(n)|∞. Communications in Computer and Information Science 16th International Conference, ITMM 2017.
Fourneau J, Gelenbe E.  2017.  G-networks with Adders. Future Internet. 9(3):1-7.
Serrano W., Gelenbe E.  2017.  Intelligent search with deep learning clusters. Intelligent Systems Conference (IntelliSys) 2017.
Gelenbe E, Yin Y.  2017.  Deep Learning with Dense Random Neural Networks. International Conference on Man–Machine Interactions.
Serrano W., Gelenbe E.  2017.  The Deep Learning Random Neural Network with a Management Cluster. 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017).
Domańska J, Domański A, Czachórski T.  2017.  Hidden Markov Models in Long Range Dependence Traffic Modelling. Communications in Computer and Information Science. 700:75-86.
Józefiok A, Czachórski T, Rataj A.  2017.  A Queueing Model of an Insurance Database Interactive System, Comparison of Modelling Methods. 5th International Conference on Man - Machine Interactions, ICMMI 2017.
Nycz M, Nycz T, Czachórski T.  2017.  Performance Modelling of Transmissions in Very Large Network Topologies. Distributed Computer and Communication Networks 20th International Conference, DCCN 2017.

2016

Czachórski T, Domański A, Domańska J, Rataj A.  2016.  A Study of IP Router Queues with the Use of Markov Models. Communications in Computer Information Science. 608:294-305.
Foremski P, Plonka D, Berger A.  2016.  Entropy/IP: Uncovering Structure in IPv6 Addresses. ACM Internet Measurement Conference 2016.
Nycz M, Nycz T, Czachórski T.  2016.  Modelling Dynamics of TCP Flows in Very Large Network Topologies. Information Sciences and Systems 2015: 30th International Symposium on Computer and Information Sciences (ISCIS 2015). :251–259.
Arcile J, Czachórski T, Didier J-Y, Klaudel H, Rataj A.  2016.  Modelling and Analysing Mixed Reality Applications. Man–Machine Interactions 4: 4th International Conference on Man–Machine Interactions, ICMMI 2015 Kocierz Pass, Poland, October 6–9, 2015. :3–17.
Czachórski T, Domański A, Domańska J, Pagano M, Rataj A.  2016.  Delays in IP Routers, a Markov Model. Communications in Computer Information Science. 659:185–192.
Domański A, Domańska J, Pagano M, Czachórski T.  2016.  The Fluid Flow Approximation of the TCP Vegas and Reno Congestion Control Mechanism. Communications in Computer Information Science. 659:193–200.
Nowak S, Nowak M, Grochla K, Pecka P.  2016.  Global Queue Pruning Method for Efficient Broadcast in Multihop Wireless Networks. Computer and Information Sciences: 31st International Symposium, ISCIS 2016, Kraków, Poland, October 27–28, 2016, Proceedings. :214–224.
Czachórski T, Gelenbe E, Grochla K, Lent R.  2016.  Computer and Information Sciences ISCIS 2016. Communications in computer Information Science. 659:500.
Gelenbe E, Ceran E.T.  2016.  Energy Packet Networks With Energy Harvesting. IEEE ACCESS. 4:1321-1331.
Brun O, Wang L, Gelenbe E.  2016.  Big Data for Autonomic Intercontinental Overlays. IEEE Journal on Selected Areas in Communications. 34(3):575-583.
Wang L., Gelenbe E.  2016.  Real-Time Traffic over the Cognitive Packet Network. 23rd International Conference on Computer Networks (CN). 608:3-21.
Francois F., Gelenbe E.  2016.  Towards a cognitive routing engine for software defined networks. IEEE International Conference on Communications (ICC). :1-6.
Gelenbe E, Abdelrahman OH, Gorbil G.  2016.  Detection and mitigation of signaling storms in mobile networks. International Conference on Computing, Networking and Communications (ICNC). :1-5.
Serrano W., Gelenbe E.  2016.  An Intelligent Internet Search Assistant Based on the Random Neural Network. 12th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI). 475:141-153.
Abdelrahman OH, Gelenbe E.  2016.  A Diffusion Model for Energy Harvesting Sensor Nodes. 24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS). :154-158.
Francois F., Gelenbe E.  2016.  Optimizing Secure SDN-Enabled Inter-Data Centre Overlay Networks through Cognitive Routing. 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS). :283-288.
Gelenbe E, Yin Y.  2016.  Deep learning with random neural networks. International Joint Conference on Neural Networks (IJCNN). :1633-1638.
Wang L, Brun O, Gelenbe E.  2016.  Adaptive workload distribution for local and remote Clouds. IEEE International Conference on Systems, Man, and Cybernetics (SMC). :3984-3988.
Gelenbe E.  2016.  Agreement in Spins and Social Networks. ACM SIGMETRICS Performance Evaluation Review. 44(2):15-17.
Gorbil G, Abdelrahman OH, Pavloski M., Gelenbe E.  2016.  Modeling and Analysis of RRC-Based Signalling Storms in 3G Networks. IEEE Transactions on Emerging Topics in Computing. 4(1):113-127.
Domański A, Domańska J, Czachórski T, Klamka J.  2016.  The use of a non-integer order PI controller with an active queue management mechanism. International Journal of Applied Mathematics and Computer Science. 26(4):777-789.

2015

Grochla K, Foremski P.  2015.  Demo: Wireless Link Selection on Smartphone: Throughput vs Battery Drain. MobiCom '15 Proceedings of the 21st Annual International Conference on Mobile Computing and Networking. :190–192.

2014

Atmaca T., Czachórski T, Grochla K, Nycz T., Pekergin F.  2014.  A model of boot-up storm dynamics. Computer and Information Sciences III. :371–379.
Kowalski P, Pojda D.  2014.  Visualization of heterogenic images of 3D scene. Man-Machine Interacions 3. :291–297.
Skabek K, Płoszaj P..  2014.  Implementation of registration algorithms for multiple views. Man-Machine Interacions 3. :315–323.
Foremski P, Callegari C., Pagano M..  2014.  DNS-Class: Immediate classification of IP flows using DNS. International Journal of Network Management.
Foremski P, Callegari C., Pagano M..  2014.  Waterfall: Rapid identification of IP flows using cascade classification. Communications in Computer and Information Science.
Foremski P, Gorawski M, Grochla K.  2014.  Source Model of TCP Traffic in LTE Networks. Information Sciences and Systems 2014.
Domańska J, Domański A, Czachórski T, Klamka J.  2014.  Flluid flow approximation of time-limited TCP/UDP/XCP streams.. Bulletin of the Polish Academy of Sciences Technical Sciences. 62:217–225.
Domańska J, Domański A, Czachórski T.  2014.  A few investigations of long-range dependence in network traffic. Information Science and Systems 2014. :137–144.
Czachórski T, Nycz M., Nycz T..  2014.  Modelling Transient States in Queueing Models of Computer Networks: A Few Practical Issues. Distributed Computer and Communication Networks. :58–72.

2013

Domańska J, Domański A, Czachórski T.  2013.  Fluid Flow Analysis of RED Algorithm with Modified Weighted Moving Average. Modern Probabilistic Methods for analysis of Telecommunication Networks. :50–58.
Foremski P.  2013.  On different ways to classify Internet traffic: a short review of selected publications. Theoretical and Applied Informatics. 25:119–136.
Czachórski T.  2013.  Modelling transient states in queueing models of computer networks: a few practical issues. Proceedings of the International Conference Distributed Computer and Communication networks: Control, Computation, Communications. :27–28.
Czachórski T.  2013.  Modelling and controlling dynamics of Internet flows.. Proc. Intellectual systems of decision-making and problems of computational intelligence.
Czachórski T.  2013.  Transient queueing models applied to performance evaluation of computer networks.. Proc. Third International Conference of Gwalior Academy of Mathematical Sciences (GAMS) on Mathematical, Computational and Integrative Sciences.
Domański A, Domańska J, Klamka J.  2013.  Analysis of CHOKe-Family Active Queue Management. Theoretical and Applied Informatics. 25:49–66.

2012

Foremski P.  2012.  Tracedump: A Novel Single Application IP Packet Sniffer. Theoretical and Applied Informatics. 24
Pawlas P., Domański A, Domańska J.  2012.  Computer Networks. Communications in Computer and Information Science. 291
Domański A, Domańska J, Czachórski T.  2012.  Computer Networks. Communications in Computer and Information Science. 291
Czachórski T, Grochla K, Nycz T., Pekergin F.  2012.  Duration of boot-up storm period. 17th Polish teletraffic symposium. :145–150.

2011

Gawron P, Głomb P, Miszczak J, Puchała Z.  2011.  Eigengestures for natural human computer interface. Man-Machine Interactions 2. :49–56.
Nowak S, Nowak M, Foremski P.  2011.  Smart Spaces and Next Generation Wired/Wireless Networking. Lecture Notes in Computer Science. 6869
Pecka P, Deorowicz S, Nowak M.  2011.  Man-Machine Interaction 2. Advances in Intelligent and Soft Computing. 103
Grochla K, Czachórski T, Klamka J.  2011.  Numerical Model of Tcp in 802.16 Networks Using Fluid Flow Approximation. First International Conference on Networking and Future Internet 2011 (ICNFI 2011).
Czachórski T, Grochla K, Józefiok A, Nycz T.  2011.  Simulation, Markov Chain and Diffusion Approximation Models – a Case Study. “Computer Science & Information Technologies” (CSIT’2011).
Hubczyk M., Domański A, Domańska J.  2011.  Internet - Technical developments and Applications 2. Advances in Intelligent and Soft Computing. 118
Domańska J, Domański A, Czachórski T.  2011.  Internet Traffic Source Vased on Hidden Markov Model. Smart spaces and Next Generation Wired/Wireless Networking. :395–404.
Nycz M.M., Czachórski T.  2011.  Modelling transient TCP flows with the use of fluid flow approximation - a numerical study. Computer Science & Information Technologies. :181–184.

2010

Nowak M, Pecka P.  2010.  QoS management for multimedia traffic in synchronous slotted-ring OPS networks. Proc. of HET-NETs 2010 Conference. :143–152.
Józefiok A, Czachórski T, Grochla K.  2010.  Performance evaluation of multiuser interactive networking system. Proceedings of 6th International Conference HET-NETs 2010. :223–231.
Domański A, Domańska J, Nowak S, Czachórski T.  2010.  A contribution to the fair scheduling for the TCP and UDP streams. Communications in Computer and Information Science 79.
Augustyn D.R, Domański A, Domańska J.  2010.  A choice of optimal packet dropping function for active queue management. Communications in Computer and Information Science 79.
Klamka J, Tańcula J..  2010.  Examination of robust stability of computer networks. Performance Modelling and Evaluation of Heterogeneous Networks. :75–87.
Augustyn D.R, Domański A, Domańska J.  2010.  Active Queue Management with non-linear packets dropping function. Performance Modelling and Evaluation of Heterogeneous Networks Proceedings of 6th Working International Conference. :133–142.

2009

Domańska J, Głomb P, Kowalski P, Nowak S.  2009.  Modeling of Internet 3D Traffic Using Hidden Markov Models. Advances in Intelligent and Soft Computing. 64

2008

Czachórski T, Grochla K, Pekergin F.  2008.  TCP performance for a wireless traffic, a diffusion approxiation model. Proceedings from Workshop on Wireless and mobility in Future Generation Internet.
Domańska J, Domański A, Czachórski T.  2008.  Implementation of modified AQM mechanisms in IP routers. Journal of Communications Software and Systems. 4
Domański A, Domańska J, Czachórski T.  2008.  The impact of self-similarity on traffic shaping in wireless LAN. Lecture Notes in Computer Science, Springer Berlin.

2007

Nowak S, Nowak M.  2007.  Parallel simulation of networks with packet loss. 14th Polish Teletraffic Symposium.
Grochla K, Czachórski T, Busic A., Fourneau J.M.  2007.  Simulation Analysis of Deflection Routing in Hypercube. Proceedings from Polish Teletraffic Symposium.
Czachórski T, Grochla K, Pekergin F.  2007.  Fluid-flow Approximation Model of TCP-NCR in wired-wireless networks. Proceedings from Polish Teletraffic Symposium.
Czachórski T, Grochla K, Pekergin F.  2007.  Stability and Dynamics of TCP-NCR(DCR) Protocol. Lecture Notes in Computer Systems 4396 - Wireless Systems and Mobility in Next Generation Internet. :241–254.
Domańska J, Domański A, Czachórski T.  2007.  The Drop-From-Front Strategy in AQM. Lecture Notes in Computer Science, Springer Berlin. 4712:61–72.

2006

Czachórski T, Grochla K, Pekergin F.  2006.  A model of TCP flows dynamics. Theoretical and Applied Informatics. 18:279–292.
Czachórski T, Domańska J, Grochla K.  2006.  Dynamics of TCP/IP flows in presence of various AQM algorithms, a fluid flow approximation model. Third EuroNGI Workshop on New Trends in Modelling, Quantitative methods and Measurements.

2005

Czachórski T, Pekergin F.  2005.  A diffusion approximation model of an electronic-optical node. LNCS, Formal Techniques for Computer Systems and Bisiness Proesses. :187–199.
Czachórski T, Pekergin F.  2005.  A novel diffusion process with jumps to study an electronic-optical edge router. Archiwum Informatyki Teoretycznej I Stosowanej. 17:87–100.
Domańska J, Domański A, Czachórski T.  2005.  The influence of traffic self-similarity on QoS Mechanisms. Proceedings of SAINT 2005 Workshops, 31 January – 4 February 2005, Trento, Italy. :300–303.
Szcześniak I, Fourneau J.M, Czachórski T.  2005.  Preliminary results of packet loss analysis in optical packet-switched networks with limited deflection routing. Proc. of SAINT 2005 Workshops, 31 January - 4 February 2005, Trento, Italy. :296–299.
Czachórski T, Pekergin F, Szady B..  2005.  Forming optical packets, a diffusion approximation model. Proc. of 12th Polish Teletraffic Symposium PSRT2005, Poznan, 20-21 September 2005..
Czachórski T, Pekergin F, Szady B..  2005.  Forming optical packets, a diffusion approximation and simulation models. Proc. Second EuoNGI Workshop on New Methods in Modelling, Quantitative Methods and Measurements, Aveiro, Porugal, November 24-25, 2005.

2004

Czachórski T, Pekergin F.  2004.  Diffusion Approximation as a modelling tool in congestion control and performance evaluation, tutorial. Proc. of HET-NETs '04, Performance Modelling and Evaluation of Heterogenous Networks.
Czachórski T, Domańska J.  2004.  Markovian models for long-range dependent traffic, new results. Proc. of First Workshop on New Trends in Modelling Quantitave Methods and Measurements, in Modelling Quantitave Methods and Measurements, Zakopane, 27-29 June 2004. :213–228.
Domańska J, Domański A, Czachórski T.  2004.  Self-similarity of network traffic and the performances of QoS mechanisms. Archiwum Informatyki Teoretycznej i Stosowanej. 16:337–349.

2003

Czachórski T, Pekergin F.  2003.  Diffusion approximation: modelling transient flows of multiclass queueing networks. Proc. of International Network Optimization Conference, INOC'03, Oct. 27-29, 2003 Evry, France.
Domańska J, Kotuliak I., Atmaca T., Czachórski T.  2003.  Optical packet filling. Proc. 10th Polish Teletraffic Symposium, Kraków 18-19 Sept. 2003. :419–429.

2002

Barth D., Berthome P., Czachórski T, Fourneau J.M, Laforest C., Vial S..  2002.  A Mixed Deflection and Convergence Routing Algorithm: Design and Performance. Proc. of Euro-Par 2002, 27-30 August 2002, Padeborn University, Padeborn, Germany.
Czachórski T, Pecka P.  2002.  Internet and real-time performance: a web server model. Proc. of 9th Conf. on Real-Time Systems, Ustroń, 16-19 September 2002.
Czachórski T, Fourneau J.M, Nowak S, Quessette F..  2002.  Performance of a mixed deflection and convergence routing algorithm. Proc. of 2nd Polish-German Teletraffic Symposium PGTS, Gdansk, 22-25 September 2002.
Czachórski T, Pekergin F.  2002.  A diffusion approximation model of Web servers. Proc. of WITASI02, 1st IFIP Workshop on Internet Technologies, Applications and Societal Impact, Wrocław, October 10-11, 2002.
Atmaca T., Czachórski T, Laalaoua R..  2002.  Badanie dynamiki algorytmu RED. Studia Informatica. 23:223–234.
Elbiaze H., Atmaca T., Czachórski T.  2002.  Blind shaping strategy of self-similar traffic: Markovian model. Archiwum Informatyki Teoretycznej i Stosowanej. 14:13–25.

2001

Grochla K.  2001.  A tool for network traffic generation and transmission delay measurement. Proceedings of 8th Polish Teletraffic Symposium.
Czachórski T, Domańska J.  2001.  Markovian models for long-range dependent traffic. Archiwum Informatyki Teoretycznej i Stosowanej. 13:297–308.
Laalaoua R., Czachórski T, Atmaca T..  2001.  Diffusion approximation and markovian models of RED control mechanism. Archiwum Informatyki Teoretycznej i Stosowanej. 13:343–354.
Czachórski T, Pekergin F.  2001.  Modelling New Congestion Control Mechanisms TCP/IP Internet Protocols. Proc. of International Conference on Control AUTOMATICS 2001, Odessa, Ukraine, 10-15 September 2001..
Laalaoua R., Czachórski T, Jędruś S, Atmaca T..  2001.  Diffusion Model of RED Control Mechanism. Proc. of International Conference on Networking ICN01, July 9-13, 2001, CREF, Universite de Haute Alsace, Colmar, France.
Laalaoua R., Czachórski T, Atmaca T..  2001.  Markovian Model of RED Mechanism. Proc. of CCGrid 2001, IEEE International Symposium on Cluster Computing, 15-18 May 2001, Brisbane, Australia.

Historia zmian

Data aktualizacji: 15/11/2023 - 11:10; autor zmian: Krzysztof Grochla (kil@iitis.pl)