Cloud computing and smart networks

Obliczenia_chmurowe_i_inteligentne_sieci

We carry out national and international research and development projects related to secure quantum communications and the creation and enhancement of distributed systems security.

The proliferation of data-collecting devices in the world around us creates new opportunities in the area of Big Data system development, as well as new risks. At NASK SCIENCE, we are developing large-scale data collection systems (e.g., telemetry data, honeypot data), as well as systems focused on their processing in the cloud. We conduct research and development work on enhancing the security of distributed systems, such as the Internet of Things (including the Industrial Internet of Things) and mobile devices.

A particular area of our interest is the development of lightweight threat detectors using machine learning, which we have had the opportunity to successfully implement, for example, as part of the international GUARD project or to integrate with the BotSense system (within SKAM project) providing security for e-banking users in many Polish banks.

 

In our work, we pay attention to the resilience of systems to attacks attempting to exploit machine learning vulnerabilities. In addition, as part of the LaVA project, together with the Warsaw University of Technology, we are developing our own methods of attacking machine learning models, which will allow a more thorough examination of the vulnerabilities of cyber-physical systems.

 

As part of the Optokrypt project, we are developing state-of-the-art optical quantum cryptology technologies for the protection of data exchanges in data communication networks for national security and defense.

Selected Publications

Articles

Mateusz Korycinski, Konrad Ciecierski, Ewa Niewiadomska-Szynkiewicz, "Neural fiber prediction with deep learning", 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Thessaloniki, Greece, 2022, 1-5.
Piotr Nawrocki, Bartłomiej Śnieżyński, Joanna Kołodziej, Paweł Szynkiewicz, "Adaptive context-aware service optimization in Mobile Cloud Computing accounting for security aspects", Concurrency and Computation Practice and Experience, 33, 2021, e6070.
Giuseppe Stragapede et al., "IEEE BigData 2023 Keystroke Verification Challenge (KVC)", IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, 6092-6100.
Piotr Szuster, Joanna Kołodziej, "Convective cells algorithm for storm data tracking", Communications of the ECMS, ECMS 2023, 37th Proceedings, 37(1), 2023,
Joanna Kołodziej, Mateusz Krzysztoń, Paweł Szynkiewicz, "Anomaly Detection in TCP/IP Networks", Communications of the ECMS, ECMS 2023, 37th Proceedings, Volume 37, Issue 1, 2023,
Piotr Arabas, Andrzej Sikora, Wojciech Szynkiewicz, "Energy-Aware Activity Control for Wireless Sensing Infrastructure Using Periodic Communication and Mixed-Integer Programming", Energies, 14(16), 2021, 4828.
Piotr Arabas, "Modeling and simulation of hierarchical task allocation system for energy-aware HPC clouds", Simulation Modelling Practice and Theory, Volume 107, 201, 102221.

Books

Ewa Niewiadomska-Szynkiewicz, Michał Marks, Piotr Arabas, Andrzej Sikora, "Bezprzewodowe sieci czujników w internecie rzeczy. Modele – Algorytmy – Protokoły", Modele – Algorytmy – Protokoły, Vol. I, Warszawa: Wydawnictwo PWN, 2022, 292.