High-sensitivity image encryption algorithm with random cross diffusion based on dynamically random coupled map lattice model

Xingyuan Wang, Jingjing Yang and Nana Guan

Chaos, Solitons & Fractals, 2021, vol. 143, issue C

Abstract: This paper proposes a novel high-sensitivity image encryption algorithm with random cross diffusion based on dynamically random coupled map lattice model implemented by piecewise linear chaotic map (PDRCML). Through theoretical analysis and experimental results analysis, it can be demonstrated that the system has the larger parameter space and the state of each lattice is more effective compared with traditional coupled logistic map lattices (CML). The system is appropriate for chaotic encryption and secure communications. Moreover, the proposed image encryption algorithm combines S-box, fast disturbance handling and random cross diffusion to realize non-linear diffusion, which breaks traditional diffusion methods based on permutation. By analyzing simulation performance of encryption, it can be easily determined that the algorithm has a high degree of security, highly sensitive, good statistical performance. And it further demonstrates the excellent features of the PDRCML model.

Keywords: PDRCML system; CML; Dynamic coupling; Fast disturbance handling; Random cross diffusion (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:143:y:2021:i:c:s0960077920309735

DOI: 10.1016/j.chaos.2020.110582

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