Hardware Components for Nonlinear Neuro-like Data Protection in Mobile Smart Systems

I Tsmots, R Tkachenko, V Teslyuk… - 2022 IEEE 17th …, 2022 - ieeexplore.ieee.org
Rapid grows and expansion smart systems application, wide use data transmission
networks require cryptographic protection of such data. Graph model of nonlinear neuro-like …

Floating-Point Number Scalar Product Hardware Implementation for Embedded Systems

I Tsmots, V Rabyk, V Teslyuk… - 2023 17th International …, 2023 - ieeexplore.ieee.org
An algorithm for calculating the scalar product of operands in floating-point format using a
table-algorithmic method and an algorithm for forming tables of macro-partial products are …

Big Data Analysis of Cryptocurrency Exchange Rate Changes Dynamics

M Bublyk, V Vysotska, K Varenina… - 2023 IEEE 18th …, 2023 - ieeexplore.ieee.org
The article analyzes the dynamics of changes in the exchange rate of cryptocurrencies such
as DogeCoin, Bitcoin, BinanceCoin and AaveCoin in recent years (before COVID-19, during …

Implementation of Base Components of Neuro-like Cryptographic Data Protection Systems on FPGA

I Tsmots, V Rabyk, R Tkachenko… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
The implementation of the base components of neuro-like cryptographic data protection
systems using FPGA is considered. The structure of the data encryption module using …

Development of a Device on FPGA to Implement the Base Operation of Neural-like Data Encryption Using Polynomials

I Tsmots, R Tkachenko, V Teslyuk… - 2023 IEEE 18th …, 2023 - ieeexplore.ieee.org
The implementation of neuro-like data encryption using polynomials is considered. The
structure of the device was developed with the usage of the base operation of neuro-like …