物联网应用中基于混沌的新型图像加密的硬件加速

Andrew Boutros, Salma Hesham, Barbara Georgey, M. A. E. Ghany
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引用次数: 8

摘要

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’s Cat和级联离散Duffing方程映射,用于图像密码系统的混淆和扩散阶段。该算法只在加密端使用两个不同的密钥执行一次阿诺德猫洗牌,而不是在传统实现中使用多次洗牌。与最先进的基于混沌的加密算法相比,该算法具有更短的运行时间和更简单的操作,安全性分析证明了该算法的鲁棒性。在Xilinx Zynq XC7Z020 FPGA板上实现了该算法的完整硬件加速设计。对于512 × 512的图像,硬件设计实现了135 MHz的最高频率,加密256 fps,满足物联网应用的实时性要求。
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Hardware acceleration of novel chaos-based image encryption for IoT applications
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.
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