Critical information infrastructure exists in different sectors of each country. Its loss or sustainability violation will lead to a negative impact on the supply of essential services, as well as on the social or economic well-being of the population. It also may even pose a threat to people’s health and lives. In the modern world, such infrastructure is more vulnerable and unstable than ever, due to rapid technological changes, and the emergence of a new type of threat—information threats. It is necessary to determine which infrastructure are of crucial importance when decision-makers aim to achieve the reliability of essential infrastructure. This article aims to solve the problem of ensuring the sustainable development of EU countries in terms of identifying critical information infrastructures. Integrated multi-criteria decision-making techniques based on fuzzy WASPAS and AHP methods are used to identify essential information infrastructures, which are related to a new type of potential threat to national security. The paper proposes a model for identifying critical information infrastructures, taking into account the sustainable development of countries.

The procedure for risk analysis is one of the important procedure during the development of the information system. However, this procedure is often not performed properly. To reduce the level of failures in the design of information systems, experts and effective tools for risk management are required. The article is devoted to the description of the developed software system of risk management. The goal of the system is to increase the reliability and fault tolerance of information systems, by evaluating the risks of software products and applying a strategy to mitigate these risks.

Electronic voting, based on cryptographic protocols and blockchain technology, represents an advanced method for ensuring the security, transparency, and reliability of electoral processes. The scientific research presented in this article is devoted to the analysis of trends and advanced technologies in the field of electronic voting. The authors propose a systematic mapping of this area using bibliometric analysis. The research is based on the analysis of scientific articles extracted from the Web of Science and Scopus databases. Bibliometric analysis tools are used to automatically identify key topics and trends in the literature. The results of the study reveal the key directions of the development of electronic voting, including the integration of cryptographic protocols and blockchain technology. Specific aspects include improving privacy through the use of modern cryptographic protocols, creating an immutable register of votes using blockchain technology, ensuring trust through open-source code, and increasing resilience to cyber-attacks. These areas reflect the desire to develop efficient, transparent, and secure electronic voting systems. Based on the identified trends, recommendations are proposed for further research aimed at improving electronic electoral systems and their adaptation to the modern requirements of security and transparency in electoral processes.