WS Co-Chairs
Professor, DrS Serhii Semenov, Institute of Security and Computer Science, Pedagogical University of Cracow, Cracow, Poland

DrS Nina Kuchuk, Department of Computer Engineering and Programming, National Technical University «Kharkiv Polytechnic Institute», Kharkiv, Ukraine

Background
The relevance of solving the problems of modelling critical data processing systems (CDPS) is due to the need for accurate and adequate assessment of characteristics during their development and improvement, which ensure high efficiency (reliability, security, efficiency, reliability, etc.) in processing critical information. Such systems are used in various sectors of the economy and public life, where errors or failures can lead to serious consequences.

Topics

Key areas of research and development to ensure the excellence of CDPS modelling, which are proposed for discussion at WS СriDSMod:

Efficiency: Modelling should help optimise algorithms and infrastructure to maximise performance and minimise costs.

Scalability: Growing data volumes and the need for more computing power require the development of scalable systems that enable fast and efficient processing of critical data.

Information security: The growing number of cyberattacks and data security threats underscores the need to develop attack-immune systems for processing critical data.

Responsiveness: In some domains, such as healthcare or aviation management, responsiveness is a critical aspect to ensure safe and efficient processes.

High throughput: Some critical systems, such as those in telecommunications or financial services, need to process large amounts of data quickly to meet the needs of users and business partners.

Decision-making: Critical systems that process important data base their actions on it. If the data is not reliable, the decisions made may be incorrect or inappropriate.

User trust: In many cases, users who rely on critical systems expect their data to be processed with high accuracy and reliability. Unreliable data can undermine user confidence in the system.