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Development of new encryption system using Brownian motion based diffusion

机译:基于布朗运动扩散的新加密系统的开发

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A new cryptographic model is proposed incorporating intertwining logistic map based confusion process and two dimensional Brownian Motion based diffusion algorithm. An intertwining logistic map is utilized in the algorithm to provide better distribution of random numbers and to overcome blank and stable windows noticed in the schematic of logistic map's bifurcation. Most of the existing image encryptionmodels use raw images without any modification for the confusion and diffusion processes. Their main drawback is that original pixel values remain the same. This problem is overcome by a Pseudo random generator based key stream that modifies pixel values. Further, an intertwining logistic map based confusion process enhances the key sensitivity and complex relationship is created between cipher and test image. Finally, two dimensional Brownian motion based diffusion is applied to bind pixels with each other to such a degree that even one bit modification in the original image affects most of the pixels in the cipher. This makes the model sensitive to change in pixel value or secret key. Various test results indicate that the proposed encryption model can encrypt the plain image into a cipher of random binary sequence. Correlation coefficients among cipher image pixels is found to be negligible, NPCR values are greater than 99.60% (average) and the model is resistive against brute-force, statistical and differential attacks.
机译:提出了一种新的加密模型,包括基于交错的基于逻辑地图的混淆过程和基于二维褐色运动的扩散算法。算法中使用交错的逻辑图以提供更好的随机数分布,并在物流地图分叉的示意图中克服空白和稳定的窗口。大多数现有图像加密模型使用原始图像而不会对混淆和扩散过程进行任何修改。它们的主要缺点是原始像素值保持不变。通过修改像素值的基于伪随机生成器的密钥流来克服该问题。此外,基于交互的基于物流地图的混淆过程可以增强密钥灵敏度和复杂关系在密码和测试图像之间创建。最后,基于二维褐色运动的扩散被彼此彼此施加到粘合像素,使得甚至在原始图像中的一个比特修改甚至影响密码中的大部分像素。这使得模型对像素值或秘密密钥的变化进行敏感。各种测试结果表明,所提出的加密模型可以将普通图像加密到随机二进制序列的密码中。发现密码图像像素之间的相关系数可忽略不计,NPCR值大于99.60%(平均值),并且该模型是对蛮力,统计和差异攻击的电阻。

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