https://doi.org/10.1140/epjp/s13360-026-07294-4
Regular Article
Video encryption scheme based on novel spatiotemporal chaotic system and dynamic partition method
School of Electronic and Information Engineering, University of Science and Technology Liaoning, 114051, Anshan, China
a
This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
21
May
2025
Accepted:
3
January
2026
Published online:
20
January
2026
Abstract
With the wide application of video in the Internet of Things and other fields, ensuring the security of video content becomes a key issue. However, the traditional video encryption scheme may still have security vulnerabilities when facing high-intensity attacks, and the computational complexity is high. It is difficult to balance high efficiency and high security. Therefore, this paper proposes a novel video encryption scheme based on a new spatiotemporal chaotic system and a dynamic partitioning method. In this scheme, we propose a new logistic coupled sine mapping lattice (LCSML) based on the coupled mapping lattice (CML) model. The LCSML model improves the mapping method of the CML by introducing sine mapping and dynamically manipulating the original static coupling parameters, thereby endowing it with better chaotic characteristics. Secondly, we design a dynamic partitioning method. The method utilizes chaotic sequences generated by LCSML for array indexing, which enables independent partitioning for each video frame. In the pixel replacement phase, the scheme utilizes the principle of protein sequence encryption to apply multiple computation rules to different regions of the video frame. Dynamic partitioning method and protein sequence encryption effectively improve the security of video encryption scheme. Finally, we uses hash index chain and inverse chain to perform diffusion operations on the pixels. The experimental results show that the video encryption scheme based on LCSML has certain advantages in security performance. It is especially suitable for application environment with high privacy protection requirements.
S. Xu; The test results are available at https://github.com/Imageset123/Sports-Video.git.
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 2026
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.
