Advantages of Logarithmic Signatures in the Implementation of Crypto Primitives Yevhen Kotukh ORCID: https://orcid.org/0000-0003-4997-620X Dnipro University of Technology Hennadii Khalimov ORCID: https://orcid.org/0000-0002-2054-9186 Kharkiv National University of Radio Electronics Computationally complex tasks, or “hard problems” for brevity, is a broad term that encompasses problems that require a significant number of resources to solve. Cryptography uses them by establishing an equivalence between the security of a scheme and the intractability of a complex problem. Two hard problems have been widely used in …

Estimates of the approximation errors of the classes of continuous Oleksandr Shchytov ORCID: https://orcid.org/0000-0002-1435-2918 TEC-Lyceum No. 100 Mykola Mormul ORCID: https://orcid.org/0000-0002-8036-3236 University of Customs and Finance In the metrics of continuous and non-decreasing functions φ(x), the following are obtained: a) estimates of the approximation of the classes of 1-periodic functions W^(2ν+1) Hω* (ν ∈ N), where ω(t) is an upwardly convex modulus of continuity, and by interpolating the functions f(t) ∈ W^(2ν+1) Hω*; b) by piecewise constant functions σ_n (f,t) …

Cyber Risk Insurance as a Component of an Effective Management System: The Case of Ukraine Hanna Niameshchuk ORCID: https://orcid.org/0000-0003-3199-8988 Oles Honchar Dnipro National University Veronika Bila ORCID: https://orcid.org/0009-0002-6810-0473 Oles Honchar Dnipro National University The development of the digital economy, driven by constant technological advancements, raises cybersecurity concerns. Modern organizations naturally respond to increased cyberattack risks by demanding corresponding insurance services. Ukrainian insurance companies are diversifying their product policies in response to the heightened issue of cyber risks, identifying leakage of …

Application of deep learning to improve the performance of collision recognition algorithms in 3D space Ivan Nevkrytyi ORCID: https://orcid.org/0009-0004-0701-0970 Oles Honchar Dnipro National University Svitlana Antonenko ORCID: https://orcid.org/0000-0001-6611-4543 Oles Honchar Dnipro National University The prevention and detection of automotive accidents have been the focus of numerous studies, with many aiming to identify potential accident-causing objects or analyzing accident statistics. This research introduces a system designed to detect random accidents by collecting data from nearby vehicles and processing it using machine …