MieWC:利用小波变换和多重混沌图进行医学图像加密

Kunal Demla, Ashima Anand
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引用次数: 0

摘要

最近,数字图像通过先进的可穿戴设备和网络被广泛应用于多个领域。尽管数字图像具有易于传播、存储和复制等多种优势,但却难以防止身份盗窃、隐私泄露和所有权冲突等问题。我们提出了一种基于小波的加密技术 MieWC,利用多个混沌密钥解决上述问题。这项工作在加密过程中使用多个密钥,从而确保了高度的安全性和真实性。洛伦兹图和逻辑图用于生成扩散和混淆过程的混沌密钥。此外,该技术还对两种不同的小波变换进行了测试,包括整数小波变换(IWT)和离散小波变换,其中整数小波变换的结果更好。因此,该技术被用于进一步分析。所提出的技术易于实施,并能提供更高的安全性和更好的结果。它的时间复杂度低,密钥位灵敏度高。结果分析进一步确保了对作物攻击的抵御能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MieWC: Medical image encryption using wavelet transform and multiple chaotic maps
Recently, digital images have been widely used in several applications through advanced wearable devices and networks. Despite several benefits of digital images, such as easy distribution, storage, and reproduction, it is difficult to prevent the issue of identity theft, privacy leakage, and ownership conflicts. We present a wavelet‐based encryption technique, MieWC, to solve the above issues using multiple chaotic keys. This work uses multiple keys for the encryption process, which ensures high security and authenticity. Lorenz and logistic maps are used for chaotic key generation for diffusion and confusion processes. Further, the technique is tested for two different wavelet transforms, including integer wavelet transform (IWT) and discrete wavelet transform, with IWT giving better results. Hence, it is being used for further analysis. The proposed technique is easy to implement and provides high security with improved results. It has low time complexity and high key bit sensitivity. The result analysis further ensures resistance against crop attacks.
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