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Research on computer 3D image encryption processing based on the nonlinear algorithm

Authors :
Bian Longlong
Chen Jianwei
Soni Mukesh
Bhola Jyoti
Kumar Harish
Jawarneh Malik
Source :
Nonlinear Engineering, Vol 11, Iss 1, Pp 664-671 (2022)
Publication Year :
2022
Publisher :
De Gruyter, 2022.

Abstract

This article uses the nonlinear digital chaos theory algorithm to generate the corresponding encryption system initial parameters, by analysing the correlation degree of image elements from the angles of horizontal, vertical, and diagonal direction, in order to study computer three-dimensional (3D) image encryption processing. The correlation degree of the cypher text obtained by the nonlinear algorithm is weak in the image's adjacent pixels, and the adjacent pixels are not related at all, horizontal angle: 0.915989, vertical angle: 0.968184, diagonal angle: 0.913533. The nonlinear algorithm distributes the image's statistical features into the random cypher text. By applying permutations and replacements in 3D space, the proposed approach improves performance parameters and widens key space in comparison to previous image cryptography investigations. The important qualities of such a secure system are its simplicity and efficacy. Simulations and analysis show that the proposed method can produce a large key space while also surviving standard cipher attacks. Because of its powerful cryptographic properties, it is suited for image applications. The nonlinear algorithm has very high sensitivity to the secret key and plaintext, as well as better statistical performance, higher security, and higher efficiency in the operation of the algorithm.

Details

Language :
English
ISSN :
21928029
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nonlinear Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.36365d76f52e45fe8aa20d603fcdf2a0
Document Type :
article
Full Text :
https://doi.org/10.1515/nleng-2022-0232