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An Improved Image Multi-Dimensional Chaos Encryption Algorithm Based on CUDA

机译:基于CUDA的改进图像多维混沌加密算法

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Due to the intrinsic features of digital images such as bulk data capacity and high redundancy, traditional encryption algorithms designed for textual information are not suitable for image encryption. With their mixing ability, and their sensitivity to the initial conditions and parameters of chaotic maps, chaos-based encryption has suggested a new and efficient way to deal with the intractable problem of highly secure image encryption. However, as the number of calculation steps and pixels being encrypted increases, the encryption time will increase too. Therefore, this study proposes multi-dimensional chaotic encryption, implemented by parallel programming on GPUs using the Compute United Device Architecture (CUDA) to reduce the redundancy of time-consuming processes in encryption. A 2D Arnold cat map was used for pixel position shuffling and 3D Liu chaotic system was used for pixel gray-scale encryption. Experimental simulations have been carried out, and the results prove high efficiency of the proposed algorithms and turn out to be applicable to real-time applications.
机译:由于数字图像的内在特征,例如批量数据容量和高冗余,所设计用于文本信息的传统加密算法不适用于图像加密。随着它们的混合能力,以及它们对混沌图的初始条件和参数的敏感性,基于混沌的加密已经提出了一种新的有效的方法来处理高度安全图像加密的难以处理问题。但是,随着计算步骤的数量和加密的像素增加,加密时间也会增加。因此,本研究提出了多维混沌加密,通过使用Compute United Device架构(CUDA)对GPU的并行编程实现,以减少加密中耗时过程的冗余。 2D Arnold Cat Map用于像素位置洗牌,3D Liu混沌系统用于像素灰度加密。已经进行了实验模拟,结果证明了所提出的算法的高效率,并拒绝适用于实时应用。

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