This paper proposes a new chaotic system, and experimental analysis shows that its Lyapunov exponent can reach up to 6.85, demonstrating excellent chaotic performance. It is highly suitable as a pseudorandom number generator for use in secure communications. Based on this, we designed a medical image encryption algorithm. The average values of Pixels Change Rate (NPCR) and the Unified Average Changing Intensity (UACI) for encrypted images can reach 99.6200% and 33.4699, respectively. The pixel value distribution is uniform, and the correlation between adjacent elements is between-0.01 and 0.01, demonstrating excellent security. Additionally, we adopted a distributed cloud storage strategy for efficient and secure image sharing, and we used Cyclic Redundancy Check (CRC) to ensure end-to-end data correctness. With these technologies at its core, we designed a medical image sharing system to securely and efficiently enable cross-domain sharing of medical images. A series of simulation experiments demonstrated that the system offers excellent security and stability.
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Cao et al. (2026) studied this question.
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