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Image encryption based on the pseudo-orbits from 1D chaotic map.
Nepomuceno, Erivelton G; Nardo, Lucas G; Arias-Garcia, Janier; Butusov, Denis N; Tutueva, Aleksandra.
Afiliação
  • Nepomuceno EG; Control and Modelling Group (GCOM), Department of Electrical Engineering, Federal University of São João del-Rei, São João del-Rei, MG 36307-352, Brazil.
  • Nardo LG; Control and Modelling Group (GCOM), Department of Electrical Engineering, Federal University of São João del-Rei, São João del-Rei, MG 36307-352, Brazil.
  • Arias-Garcia J; Department of Electronic Engineering, Federal University of Minas Gerais, Belo Horizonte, MG 31270-901, Brazil.
  • Butusov DN; Youth Research Institute, Saint Petersburg Electrotechnical University "LETI," 5, Professora Popova st., 197376 Saint Petersburg, Russia.
  • Tutueva A; Department of Computer-Aided Design, Saint Petersburg Electrotechnical University "LETI," 5, Professora Popova st., 197376 Saint Petersburg, Russia.
Chaos ; 29(6): 061101, 2019 Jun.
Article em En | MEDLINE | ID: mdl-31266342
Chaotic systems have been extensively applied in image encryption as a source of randomness. However, dynamical degradation has been pointed out as an important limitation of this procedure. To overcome this limitation, this paper presents a novel image encryption scheme based on the pseudo-orbits of 1D chaotic maps. We use the difference of two pseudo-orbits to generate a random sequence. The generated sequence has been successful in all NIST tests, which implies it has adequate randomness to be employed in encryption process. Confusion and diffusion requirements are also effectively implemented. The usual low key space of 1D maps has been improved by a novelty procedure based on multiple perturbations in the transient time. A factor using the plain image is one of the perturbation conditions, which ensures a new and distinct secret key for each image to be encrypted. The proposed encryption scheme has been efficaciously verified using the Lena, Baboon, and Barbara test images.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Chaos Assunto da revista: CIENCIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Chaos Assunto da revista: CIENCIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos