Žilinská univerzita v Žiline

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    Bezpečnostní kultura organizace jako nástroj fyzické bezpečnosti
    (University of Žilina, 2025) Kotek, Lukáš; Mičulková, Tereza; Král, Pavel
    This article examines the development of a safety culture within an organization, with the aim of applying it to more effective safety education, which subsequently serves as a key safety measure. The article introduces the authors’ new concept of the pillars of physical security and the philosophy of the security system as an interconnected security ecosystem. It also outlines important areas of safety education that play a crucial role in managing security incidents and explains the core principles of a safety culture. Finally, using an example of implementation in a selected organization, it illustrates possible approaches to building such a culture and presents specific steps and elements that we used to cultivate it.
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    Fraktálový model posúdenia rizík (fram) – návrh
    (University of Žilina, 2025) Mariš, Ladislav
    This article introduces the Fractal Risk Assessment Model (FRAM), a novel approach to quantifying and visualising risk in complex physical infrastructure, such as water utilities. Traditional risk assessment methods often struggle to capture the multi-layered and spatially intricate nature of modern security systems. Drawing on fractal geometry concepts, FRAM treats risk as a spatially structured problem where critical properties can recur across various scales. The model integrates classic probability (P) and impact (D) with two key fractal indicators: Fractal Dimension (Df), which quantifies the structural complexity, and Lacunarity (Lf), representing the distribution of unprotected "gaps" or "empty spaces" within the security layout. By defining risk as Rf = P * D * (Df * Lf), FRAM provides a quantifiable measure that reflects both an object's inherent complexity and the completeness of its protective measures. The article applies FRAM to a hypothetical water utility, demonstrating its capability to identify vulnerabilities and assess risk more precisely than linear models, thereby offering valuable insights for enhancing physical security management. The article is intended for experts in risk assessment, security management, and project managers, particularly in the field of security.