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Color Image Encryption Algorithm Based on Lorenz Hyperchaotic System

Published: 31 December 2021 Publication History

Abstract

A color image encryption algorithm based on Lorenz hyperchaotic system and GF (257) domain is proposed. Firstly, We get the initial value of each state of the hyperchaotic Lorenz system from the input key, obtain a pseudorandom sequence with a fixed length by iterating the hyperchaotic Lorenz system. Secondly, convert the input three-dimensional space color image into three two-dimensional R, G and B grayscale images. After expanding each two-dimensional grayscale image into a one-dimensional vector, the non-repeated scrambling algorithm based on the pseudorandom sequence is used for scrambling operation and the diffusion algorithm based on GF (257) domain multiplication is used for diffusion processing. Finally, the three encrypted two-dimensional grayscale images are merged into the final encrypted image. The analysis of simulation experiment results and performance analysis verify that the algorithm has good encryption effect and has high robustness against common attacks.

References

[1]
Muñoz Guillermo María. Image encryption using q-deformed logistic map[J]. Information Sciences, 2020: 352--364.
[2]
Shunxi Wen. Color Image Compression-Encryption Algorithm Based on Quaternion Discrete Multi-Fractional Random Transform[D]. NANCHANG University 2020:1--5.
[3]
Xian Yongjin, Wang Xingyuan. Fractal sorting matrix and its application on chaotic image encryption[J]. Information Sciences, 2021, 547:1154--1169.
[4]
Liu hai. Image Encryption Research Based on Permutation Polynomial over Finite Fields[D]. NANCHANG University.
[5]
Liang Yan-hui, LI Guo-dong, WANG Ai-yan. Feenquency Domain Adaptive Image Encryption Algorithm Based on Fractional Order Chen Hyperchaos. School of Statistics and Data Science [D], Xinjiang university of Finance and Economics. 2019, 46(S2):488--492.
[6]
Chen shijie. On-line Detection and Regulation of Fly AshTribo-electrification Based on Gray Image Recognition [D]. CHINA UNIVERSITY OF MINING AND TECHNOLOGY.
[7]
Xishun zhu, Hai Liu, Yaru Liang, Jian hua wu*, Image Encryption based on Kron ecker. Product over Finite Fields and DNA Operation[J]. Optik-International Journal for Light and electron Optics, 2020, 164725.
[8]
Rehman A, Liao X, An effcient mixed ir}er-infra pixels encryption technique using DNA and chaos [J]. Optik-Electron Optics, 2018, 153: 117--134.

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EITCE '21: Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering
October 2021
1723 pages
ISBN:9781450384322
DOI:10.1145/3501409
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 December 2021

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Author Tags

  1. GF (257) Domain Multiplication
  2. Hyperchaotic Lorenz System
  3. Image Encryption

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EITCE 2021

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EITCE '21 Paper Acceptance Rate 294 of 531 submissions, 55%;
Overall Acceptance Rate 508 of 972 submissions, 52%

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