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2024 | OriginalPaper | Chapter

Combination of an Improved Feistel Scheme and Genetic Operators for Chaotic Image Encryption

Authors : Hicham Rrghout, Mourad Kattass, Mariem Jarjar, Naima Benazzi, Younes Qobbi, Abdellatif Jarjar, Abdelhamid Benazzi

Published in: Computing, Internet of Things and Data Analytics

Publisher: Springer Nature Switzerland

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Abstract

In this work, we will propose a new color image encryption technique using chaotic maps and based on an improved Feistel scheme. This scheme is reinforced by two genetic operators adapted to cryptography. After putting the original image into a single vector, a genetic mutation is applied. Then, a subdivision into sub-blocks of pseudo-random size is performed. Feistel's technique is applied using new confusion and diffusion functions. A genetic crossover is installed at the output and is controlled by a pseudo-random crossover table. Simulations carried out on a large sample of images of various sizes demonstrate that our method is resilient against all known attacks.

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Title: Combination of an Improved Feistel Scheme and Genetic Operators for Chaotic Image Encryption
Authors: Hicham Rrghout
Mourad Kattass
Mariem Jarjar
Naima Benazzi
Younes Qobbi
Abdellatif Jarjar
Abdelhamid Benazzi
Publisher: Springer Nature Switzerland
Book: Computing, Internet of Things and Data Analytics
Print ISBN: 978-3-031-53716-5

Electronic ISBN: 978-3-031-53717-2

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-53717-2_8

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