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Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption

A modification of the classic logistic map is proposed, using fuzzy triangular numbers. The resulting map is analysed through its Lyapunov exponent (LE) and bifurcation diagrams. It shows higher complexity compared to the classic logistic map and showcases phenomena, like antimonotonicity and crisis...

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Detalles Bibliográficos
Autores principales: Moysis, Lazaros, Volos, Christos, Jafari, Sajad, Munoz-Pacheco, Jesus M., Kengne, Jacques, Rajagopal, Karthikeyan, Stouboulos, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516958/
https://www.ncbi.nlm.nih.gov/pubmed/33286248
http://dx.doi.org/10.3390/e22040474
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author Moysis, Lazaros
Volos, Christos
Jafari, Sajad
Munoz-Pacheco, Jesus M.
Kengne, Jacques
Rajagopal, Karthikeyan
Stouboulos, Ioannis
author_facet Moysis, Lazaros
Volos, Christos
Jafari, Sajad
Munoz-Pacheco, Jesus M.
Kengne, Jacques
Rajagopal, Karthikeyan
Stouboulos, Ioannis
author_sort Moysis, Lazaros
collection PubMed
description A modification of the classic logistic map is proposed, using fuzzy triangular numbers. The resulting map is analysed through its Lyapunov exponent (LE) and bifurcation diagrams. It shows higher complexity compared to the classic logistic map and showcases phenomena, like antimonotonicity and crisis. The map is then applied to the problem of pseudo random bit generation, using a simple rule to generate the bit sequence. The resulting random bit generator (RBG) successfully passes the National Institute of Standards and Technology (NIST) statistical tests, and it is then successfully applied to the problem of image encryption.
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spelling pubmed-75169582020-11-09 Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption Moysis, Lazaros Volos, Christos Jafari, Sajad Munoz-Pacheco, Jesus M. Kengne, Jacques Rajagopal, Karthikeyan Stouboulos, Ioannis Entropy (Basel) Article A modification of the classic logistic map is proposed, using fuzzy triangular numbers. The resulting map is analysed through its Lyapunov exponent (LE) and bifurcation diagrams. It shows higher complexity compared to the classic logistic map and showcases phenomena, like antimonotonicity and crisis. The map is then applied to the problem of pseudo random bit generation, using a simple rule to generate the bit sequence. The resulting random bit generator (RBG) successfully passes the National Institute of Standards and Technology (NIST) statistical tests, and it is then successfully applied to the problem of image encryption. MDPI 2020-04-20 /pmc/articles/PMC7516958/ /pubmed/33286248 http://dx.doi.org/10.3390/e22040474 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moysis, Lazaros
Volos, Christos
Jafari, Sajad
Munoz-Pacheco, Jesus M.
Kengne, Jacques
Rajagopal, Karthikeyan
Stouboulos, Ioannis
Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption
title Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption
title_full Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption
title_fullStr Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption
title_full_unstemmed Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption
title_short Modification of the Logistic Map Using Fuzzy Numbers with Application to Pseudorandom Number Generation and Image Encryption
title_sort modification of the logistic map using fuzzy numbers with application to pseudorandom number generation and image encryption
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516958/
https://www.ncbi.nlm.nih.gov/pubmed/33286248
http://dx.doi.org/10.3390/e22040474
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