https://doi.org/10.1140/epjp/s13360-024-05415-5
Regular Article
A privacy encryption scheme for medical images based on nonlinear dynamic coupled map lattices and protein sequence
1
School of Electronic and Information Engineering, University of Science and Technology Liaoning, 114051, Anshan, China
2
School of Mathematical Sciences, Chongqing Normal University, 401331, Chongqing, China
Received:
14
May
2024
Accepted:
30
June
2024
Published online:
20
July
2024
In this paper, the Nonlinear Arnold Coupled Logistic Map Lattice (NACLML) is proposed. The NACLML is to introduce the coupling intensity of nonlinear variation on the Arnold Coupled Logistic Map Lattices (ACLML). The dynamic change of coupling strength makes the NACLML have more dynamic cryptographic properties than the ACLML. Based on the NACLML, a novel medical image encryption algorithm is designed based on the structure of Protein. Then, a partitioning algorithm is designed in the scrambling stage. Multiple calculation rules for protein sequences are applied to different regions of the image. In addition, in order to improve the security of key generation, a bit-level arrangement algorithm is proposed in the key generation stage. The key space size is 
, much higher than the current highest security standard 
, and the key sensitivity test shows that the designed key generation algorithm has a strong key sensitivity. This study not only promotes the application of chaotic system in the field of medical image encryption, but also provides a new idea for the field of key security.
Copyright comment Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
