PRACTICAL CLASSIFICATION TOPOLOGICAL STRUCTURES OF COMMUNICATION NETWORKS FOR MULTIPROCESSOR COMPUTER SYSTEMS
Journal Title: КОМП’ЮТЕРНІ НАУКИ ТА КІБЕРБЕЗПЕКА - Year 2017, Vol 2, Issue 6
Abstract
Proposed by the working version of practical classification topological structures of communication networks for multiprocessor computer systems. Any n-dimensional non-full mesh structure presented here as the result of some operations on any basic graph of the set, including one-dimensional non-full mesh simple graphs and n-dimensional realization of the generalized full mesh structure. The main classification criterion, which was refined earlier, is the notion of dimension topological structure that eliminates the shortcomings and contradictions of the, well-known, authors such classifications.
Authors and Affiliations
Oleksii Тyrtyshnikov, Maryna Mavrina, Yuri Korzh
Code-based schemes for digital signatures
This article is devoted to the features of construction and use of electronic digital signature schemes based on the use of error-correcting codes, namely the most common scheme, which is based on this approach, CFS and...
ДИСПЕРСИОННЫЙ АНАЛИЗ СЕТЕВОГО ТРАФИКА ДЛЯ ОБНАРУЖЕНИЯ ВТОРЖЕНИЙ В SMART GRIDS
Рассматриваются системы обнаружения и предотвращения вторжений в современных теле-коммуникационных системах и сетях. Исследуются методы мониторинга событий, состоящие в анализе сетевой активности отдельных служб и информ...
Стратегія вибору S-блоків для нелінійного перетворення шифру струмок
Обговорюються особливості побудування S-перетворення шифру Струмок. Зокрема увага зосереджується на виборі S-блоків для цього перетворення. Оцінюються показники його випадковості, зокрема визначається мінімальне число ци...
NTRU Prime IIT Ukraine encryption algorithm with consideration known attacks analysis
The paper deals with the modern cryptographic transformations of the asymmetric end-to-end encryption type, namely – NTRU-like cryptographic systems. A new cryptographic system NTRU Prime IIT Ukraine was created based on...
WILL THE ARTIFICIAL INTELLIGENCE HELP US?
Discussed what can help us (humanity) artificial intelligence. The unification of artificial neural networks and decision-making expert systems based on the logic has discussed. The integration of formed (human) concepts...