A new chaos-based PRNG hardware architecture using the HUB fixed-point format

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dc.creatorSamuel S. da Silva
dc.creatorMatheus B. R. Cardoso
dc.creatorLucas Giovani Nardo
dc.creatorErivelton Geraldo Nepomuceno
dc.creatorMichael Hubner
dc.creatorJanier Arias García
dc.date.accessioned2025-05-29T13:26:08Z
dc.date.accessioned2025-09-09T00:44:01Z
dc.date.available2025-05-29T13:26:08Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.1109/TIM.2023.3235457
dc.identifier.issn15579662
dc.identifier.urihttps://hdl.handle.net/1843/82606
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofIEEE Transactions on Instrumentation and Measurement
dc.rightsAcesso Restrito
dc.subjectSistemas dinâmicos
dc.subject.otherHardware , Standards , Degradation , Computer architecture , Arithmetic , Chaos , Behavioral sciences
dc.subject.otherBernoulli map , chaotic systems , computer arithmetic , Half-Unit-Biased (HUB) format , pseudorandom number generator (PRNG) , tent map
dc.subject.otherHardware Architecture , Pseudo-random Number Generator , Fixed-point Format , Digital Technologies , Chaotic System , Degradation Kinetics , Numerical Representation , Double Function , Standard Representation , Key Design Parameters , Monte Carlo Simulation , Standard Form , Control Parameters , Use In Applications , Rest Of This Article , Dirac Delta , Test Suite , Arithmetic Operations , Perturbation Method , Least Significant Bit , Positive Lyapunov Exponents , Hardware Resources , Lyapunov Exponent , Most Significant Bit , Finite Precision , Bit Length , Image Encryption , Use Of Representations , Algebraic Operations
dc.titleA new chaos-based PRNG hardware architecture using the HUB fixed-point format
dc.typeArtigo de periódico
local.citation.spagexx
local.description.resumoChaotic systems have been applied in many applications involving instrumentation and measurements, such as in sensors and control systems, due to their pseudorandom proprieties. However, reproducing chaos in digital systems is challenging because of the dynamical degradation of chaotic digital systems and, consequently, their intrinsic periodic orbits. Many techniques have been used to guarantee a sufficiently large period, making them suitable for such applications. Nevertheless, few articles pay attention to the effects of using different numerical representations on chaos degradation and, at the same time, keeping key design parameters, such as few logical resources and power consumption. Thus, this article aims to provide a new hardware architecture for a chaos-based pseudorandom number generator (PRNG) using the Half-Unit-Biased (HUB) format for fixed-point numbers by bi-coupling the tent map in conjunction with the Bernoulli map, causing a significant impact on its logical resources and performance. Results show that the HUB format is more effective than the standard fixed-point numerical representation and that the proposed approach is chaotic, with pseudorandomness.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://ieeexplore.ieee.org/document/10013689

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