计算机科学
加密
冗余(工程)
像素
云计算
混乱的
算法
图像(数学)
图像共享
伪随机数发生器
李雅普诺夫指数
密码学
理论计算机科学
发电机(电路理论)
熵(时间箭头)
循环冗余校验
数据挖掘
随机数生成
云存储
实时计算
安全性分析
计算机工程
分布式计算
算法设计
数据安全
计算机数据存储
图像处理
人工智能
作者
Pengfei Cao,Lin Teng,HERBERT H.C. IU,Yang Liu
标识
DOI:10.1109/tmm.2026.3651104
摘要
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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