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A new spatiotemporal chaos model and its application in bit-level image encryption

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Abstract

With the development of network technology, multimedia security has attracted extensive attention. Although chaotic system is widely used in this field because of its own characteristics, designing a more secure and efficient chaotic system and encryption algorithm has great application potential. In this paper, a new spatiotemporal chaos model, dynamic coupled perturbation map lattice (DCPML), is proposed. The variable function is introduced to replace the coupling input variable of spatiotemporal chaotic system, and the output of two-dimensional Logistic map is used as dynamic coupling coefficient and disturbance term to improve the pseudo randomness and chaos of the system. Through a series of analysis, it is proved that the model has excellent chaotic characteristics. The system is applied to chaotic encryption, and a new bit-level image encryption algorithm is designed. The algorithm breaks the correlation between pixels through bit-level confusion and diffusion operation. A large number of experiments and security analysis show that the algorithm can resist common attacks and has high security and robustness.

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Acknowledgements

This research is supported by the National Natural Science Foundation of China (No: 61672124), the Password Theory Project of the 13th Five-Year Plan National Cryptography Development Fund (No: MMJJ20170203), Liaoning Province Science and Technology Innovation Leading Talents Program Project (No: XLYC1802013), Key R&D Projects of Liaoning Province (No: 2019020105-JH2/103), Jinan City ‘20 universities’ Funding Projects Introducing Innovation Team Program (No: 2019GXRC031), Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security (No: MIMS20-M-02).

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Authors and Affiliations

  1. School of Information Science & Technology, Dalian Maritime University, Dalian, 116026, China

    Xingyuan Wang & Maochang Zhao

  2. Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin, 541004, China

    Xingyuan Wang

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  1. Xingyuan Wang
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  2. Maochang Zhao
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Correspondence to Xingyuan Wang or Maochang Zhao.

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Wang, X., Zhao, M. A new spatiotemporal chaos model and its application in bit-level image encryption. Multimed Tools Appl 83, 10481–10502 (2024). https://doi.org/10.1007/s11042-023-16031-3

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