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Hardware acceleration of novel chaos-based image encryption for IoT applications

机译:用于物联网应用的新型基于混沌的图像加密的硬件加速

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In this paper, we propose a new chaos-based image encryption algorithm that combines Arnold's Cat and cascaded discrete Duffing equations maps for the confusion and diffusion stages of an image cryptosystem. The algorithm performs only one Arnold's Cat shuffle on the encryption side using two different keys instead of several shuffles used in conventional implementations. The security analysis of the proposed algorithm proves robustness when compared to state-of-the-art chaos-based encryption algorithms with less runtime and simpler operations. A complete accelerated hardware design of the proposed algorithm is implemented on Xilinx Zynq XC7Z020 FPGA board. For a 512 × 512 image, the hardware design achieves a maximum frequency of 135 MHz encrypting 256 fps which meets the real-time requirements of IoT applications.
机译:在本文中,我们提出了一种新的基于混沌的图像加密算法,该算法结合了Arnold的Cat和级联的离散Duffing方程图,以解决图像密码系统的混淆和扩散阶段。该算法仅使用两个不同的密钥在加密方面执行一次Arnold's Cat随机播放,而不是常规实现中使用的几种随机播放。与具有更少运行时间和更简单操作的最新的基于混沌的加密算法相比,所提出算法的安全性分析证明了其鲁棒性。在Xilinx Zynq XC7Z020 FPGA板上实现了所提出算法的完整加速硬件设计。对于512×512图像,硬件设计实现了135 MHz的最大频率加密256 fps,从而满足了IoT应用程序的实时要求。

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