Cybersecurity Modelling and Simulation
Modern ICT systems are recognized as cost-effective environments for outsourcing infrastructure, platforms and software. The problems related to privacy and security are still challenging. ICT systems end-users are now using applications that fall under the data-intensive paradigm, such as Skyline queries, streaming information relays, and crowd-sourced disaster management. Cyber Modelling and Simulation (M&S) is a collection of models, frameworks, and other tools through which researchers, engineers, and technologists can practice the science of cybersecurity. However, the above paradigm shift has opened newer research directions in security, data interoperability, sustainable software development and many other areas. This track primarily encompasses practical approaches that advance research in handling large amounts of data securely in the cloud, mobile nodes, and cloud-connected edge clusters such as MANETs, wireless sensor networks, AI systems, and other ITC systems. Successful contributions may range from advanced technologies, applications and innovative solutions for secure ITC to the development of methods and conceptual and theoretical models related to secure management, monitoring, scheduling and resource allocation.
Recommended topic areas include, but are not limited to:
- M&S of security-aware data gathering and assimilation in ICT systems
- Cloud, edge and fog-secure models and infrastructures
- M&S of secure multi-agent systems
- Machine learning–based models and simulators of secure ICT systems
- Advanced security and privacy mechanisms in mobile and distributed infrastructures
- Scalable identity and authentication protocols in ICT systems
- Security-aware resource allocation and scheduling in computing networks
- Secure communication in Smart Grid installations using Ad Hoc Network protocols
- Wireless Sensor Node applications for Smart Grid
- Secure 5G applications for Smart Grid
- Economical models in secure ICT environments
- Secure mobile network applications
- Trust and Reputation Management in ICT systems
- M&S of attacks on machine learning models.
You may find more information to this track on: https://sites.google.com/view/secmos2025
Track Chairs/ Organizers
Joanna Kołodziej, NASK, Warsaw, Cracow University of Technology, Poland (e-mail: joanna.kolodziej68@gmail.com)
Anna Felkner, NASK, Warsaw, Poland (e-mail: anna.felkner@nask.pl)
Raphaël Couturier, Université de Franche-Comté, France (e-mail: raphael.couturier@univ-fcomte.fr)
Expected track structure:
We plan to organize 1-2 regular sessions (based on the number of accepted papers) – more probably, it will be one session. Additionally, the promotion of the Miranda project is planned as the invited talk, but it has not been decided yet. We expect about 10-30 people in the audience.
Track papers:
All papers will be published in ECMS2024 proceedings. The Authors’ kit, registration information, and deadlines will be published on the ECMS2025 conference webpage.
Chairs:
Joanna Kolodziej is a professor at the Research and Academic Computer Network (NASK) Institute. She is also the Head of the Department of Computer Sciences at Cracow University of Technology. She is the author of 180+ peer-reviewed publications and associate editor of HQ journals. IEEE Transactions on Services Computing. Prof. Kolodziej is the President of the Polish Chapter of the IEEE Computational Intelligence Society. She participated in several international and national projects, including ECONET, 7FP and PARAPHRASE 7FP, cHiPSet Cost Action IC1406 (chipset-cost. eu) and InterReg “BalticSatApps” and H2020 “Guard” Currently, she is a coordinator of the Polish team in Digital4Security Digital Europe project and HE Miranda project.
Anna Felkner is the Head of the Cybersecurity Systems Division and the Department of Information Security Systems in Research and Academic Computer Network (NASK-PIB) Institute. She has been implementing projects related to cybersecurity in its broadest sense. Coordinator of the international project VARIoT (Vulnerability and Attack Repository for IoT, https://www.variot.eu/), manager of the EUNITY project (https://www.eunity-project.eu/), participant of several international and national projects (FP7, NCBiR, H2020, CEF). Author/co-author of more than 50 per reviewed publications. She is also involved in international cooperation in the field of cybersecurity. She represents NASK in ECSO (European Cyber Security Organization), Makroklaster (Cyber Security) and IS3C (Internet Standards, Security and Safety) coalition.
Raphaël Couturier is a professor at the Université de Franche Comté (France). His research areas cover various topics such as parallel algorithms for HPC or GPU, IoT, machine learning, deep learning and applied security. Raphaël has already written more than 200 papers in international peer-reviewed journals and conferences and he also wrote 3 books. He participated to many projects with various universities in France and Europe. He is currently Vice-President of digital in his university.