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Adaptive medical image encryption algorithm based on multiple chaotic mapping

机译:基于多重混沌映射的自适应医学图像加密算法

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Digital images are now widely used in modern clinic diagnosis. The diagnostic images with confidential information related to patients’ privacy are stored and transmitted via public networks. Secured schemes to guarantee confidentiality of patients’ privacy are becoming more and more vital. This paper proposes an adaptive medical image encryption algorithm based on improved chaotic mapping in order to overcome the defects of the existing chaotic image encryption algorithm. First, the algorithm used Logistic-sine chaos mapping to scramble the plain image. Then, the scrambled image was divided into 2-by-2 sub blocks. By using the hyper-chaotic system, the sub blocks were adaptively encrypted until all the sub block encryption was completed. By analyzing the key space, the information entropy, the correlation coefficient and the plaintext sensitivity of the algorithm, experimental results show that the proposed algorithm overcomes the shortcoming of lack of diffusion in single direction encryption. It could effectively resist all kinds of attacks and has better security and robustness.
机译:现在,数字图像已广泛用于现代临床诊断中。带有与患者隐私相关的机密信息的诊断图像通过公共网络存储和传输。确保患者隐私保密的安全方案变得越来越重要。为了克服现有混沌图像加密算法的缺陷,提出了一种基于改进混沌映射的自适应医学图像加密算法。首先,该算法使用Logistic-sine混沌映射对纯图像进行加扰。然后,将加扰的图像划分为2×2子块。通过使用超混沌系统,对子块进行自适应加密,直到完成所有子块加密为止。通过分析算法的密钥空间,信息熵,相关系数和明文敏感度,实验结果表明,该算法克服了单向加密算法缺乏扩散性的缺点。它可以有效抵抗各种攻击,并具有更好的安全性和鲁棒性。

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