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Medical Image Encryption using Chaotic Map Improved Advanced Encryption Standard

机译:使用混沌映射改进的高级加密标准进行医学图像加密

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Under the Digital Image and Communication in Medicine (DICOM) standard, the Advanced Encryption Standard (AES) is used to encrypt medical image pixel data. This highly sensitive data needs to be transmitted securely over networks to prevent data modification. Therefore, there is ongoing research into how well encryption algorithms perform on medical images and whether they can be improved. In this paper, we have developed an algorithm using a chaotic map combined with AES and tested it against AES in its standard form. This comparison allowed us to analyse how the chaotic map affected the encryption quality. The developed algorithm, CAT-AES, iterates through Arnold’s cat map before encryption a certain number of times whereas, the standard AES encryption does not. Both algorithms were tested on two sets of 16-bit DICOM images: 20 brain MRI and 26 breast cancer MRI scans, using correlation coefficient and histogram uniformity for evaluation. The results showed improvements in the encryption quality. When encrypting the images with CAT-AES, the histograms were more uniform, and the absolute correlation coefficient was closer to zero for the majority of images tested on.
机译:在医学数字图像和通信(DICOM)标准下,高级加密标准(AES)用于加密医学图像像素数据。这种高度敏感的数据需要通过网络安全地传输,以防止数据修改。因此,正在进行关于加密算法在医学图像上的性能如何以及是否可以对其进行改进的研究。在本文中,我们开发了一种使用混沌映射与AES相结合的算法,并针对AES以标准形式对其进行了测试。这种比较使我们能够分析混沌映射如何影响加密质量。所开发的算法CAT-AES在加密一定次数之前会反复遍历Arnold的猫图,而标准AES加密则不会。两种算法均在两组16位DICOM图像上进行了测试:使用相关系数和直方图均匀性进行评估,分别进行了20次脑MRI和26次乳腺癌MRI扫描。结果表明加密质量得到改善。当使用CAT-AES加密图像时,直方图更加均匀,并且大多数测试图像的绝对相关系数都接近于零。

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