基于双混沌系统与DNA动态编码的医学图像加密算法
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内蒙古科技大学信息工程学院

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TP309.7

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中央引导地方科技发展资金项目-基于可解释深度学习的早期肺癌计算机辅助分析研究(2021ZY0004);内蒙古自然科学-复杂场景下SAR舰船目标检测技术研究(2022LHMS06005)


Medical Image Encryption Algorithm Based on Dual Chaos System and DNA Dynamic Encoding
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    摘要:

    针对现有医学图像加密算法信息分散能力偏弱、安全性能偏低等问题,提出了一种基于双混沌结构、DNA动态编码和分块扩散的DICOM医学图像加密算法。设计出一种新的三维超混沌系统并引入超混沌Chen系统构成双混沌迭代生成体系,避免单一系统遭到逆向解构分析从而被破解的风险。优化DNA编码机制,与混沌序列相结合,实现动态规则的DNA编码,提高算法的抗解码能力。此外,在扩散阶段对矩阵信息进行分块并采用类Zigzag式循环遍历法对像素信息逐位处理。经各项安全性分析实验,证明密文图像在统计特性、信息熵、密钥敏感性及空间大小等方面具备良好的加密性能并拥有较高的安全性,在医学图像加密领域中具备一定的前景。

    Abstract:

    Aiming at the weak information dispersion ability and low security performance of existing medical image encryption algorithms, a DICOM medical image encryption algorithm based on double chaotic structure, DNA dynamic coding and block diffusion is proposed. A new three-dimensional hyperchaotic system is designed and a hyperchaotic Chen system is introduced to form a double chaotic iterative generation system to avoid the risk of a single system being cracked by reverse deconstruction analysis. Optimize the DNA encoding mechanism and combine it with the chaotic sequence to realize the DNA encoding of dynamic rules and improve the anti-decoding ability of the algorithm. In addition, in the diffusion stage, the matrix information is divided into blocks and the pixel information is processed bit by bit by a Zigzag-like loop traversal method. Through various security analysis experiments, it is proved that the ciphertext image has good encryption performance and high security in terms of statistical characteristics, information entropy, key sensitivity and space size, and has a certain level of security in the field of medical image encryption. prospect.

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  • 收稿日期:2023-04-16
  • 最后修改日期:2023-05-19
  • 录用日期:2023-05-24
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