Volume 8, Issue 1 (2024)
Managing Cybersecurity at National Level
Author(s): Martin MAZÚCH, Boris BUČKO, Roland KELEMEN, Adam FARKAS Abstract: A comprehensive and flexible national cybersecurity policy is necessary to guarantee the safety and security of citizens in a democracy. This plan must effectively tackle the ever-changing and progressive nature of cyber threats posed by nation-states, criminal syndicates, and individual hackers. This article explores the critical role of a robust cybersecurity framework in safeguarding a nation's digital infrastructure. It delves into the key components and principles that underpin effective cybersecurity management at the national level. By providing a comprehensive overview, this article aims to contribute to informed policymaking and the development of resilient national cybersecurity strategies. Download full article
Data Visualization in 2D/3D with Usage of Force-driven Algorithms
Author(s): Martin MAZÚCH, Jozef KOSTOLNÝ, Alexander BREZÁNI Abstract: Force-driven algorithms offer a straightforward and intuitive approach to visualizing data structures and social networks in two dimensions. Their simplicity facilitates rapid data presentation and fosters understanding of inter- element relationships. However, limitations such as visual clutter, overlapping elements, and a lack of realism hinder their effectiveness in capturing intricate data nuances. To address these challenges, this paper proposes a novel three-dimensional visualization method. By combining traditional force-driven techniques with spherical displays, data normalization, clustering, spring coupling, and gravitational interactions, we aim to create a robust framework for representing complex data structures while preserving hierarchical and structural information. This approach promises to enhance data visualization capabilities and provide deeper insights into the underlying relationships within networks. Download full article