This paper presents an expanded discussion of the mathematical curriculum within the Cybersecurity specialization at the Faculty of Military Technology, University of Defence, with particular emphasis on discrete mathematics and number theory. Building on earlier work describing experiences in teaching Mathematics I–III and Graph Theory, we focus on selected number-theoretic topics and their concrete applications in cybersecurity- and cryptography-oriented courses. Through representative examples solved by students in discrete mathematics courses, we illustrate how concepts such as modular arithmetic, finite fields, and algebraic structures support the understanding of cryptographic algorithms and protocols. The paper further reflects on the role of mathematically grounded education in preparing future cybersecurity specialists for national defence tasks in the context of contemporary geopolitical challenges.
The regional and local impacts of the restrictive measures taken to mitigate the covid-19 crisis are highly heterogeneous and have significant consequences for the efficiency of society’s functioning, the emergency management of the state administration, and the political responses of the governing parties. The paper deals with the assessment of threats and risks resulting from the restrictive measures of the government as part of the solution to the pandemic crisis situation in the Czech Republic (CR). The aim of the authors is to identify the most serious threats and risks that can affect the democracy and internal security of the CR during a pandemic and to propose recommendations for their mitigation. To assess the defined threats and risks, a point semi-quantitative method was used, working with values for probability, impact and the opinion of evaluators, called the PCE method (Probability, Consequences, Evaluator). Out of the twenty assessed threats, a group of evaluators identified the eight most serious ones, using the PCE method.