Hardware Design of Image Encryption and Decryption Using CORDIC Based Chaotic Generator

Atharv Paliwal, Bhavik Mohindroo, Kriti Suneja
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引用次数: 4

Abstract

This work proposes a Red Green Blue (RGB) image encryption and decryption digital system which uses random number sequence generators as core and also provides its internal architectural layout. SC-CNN (State Controlled Cellular Neural Network) based chaotic system which stands optimal in generating multi-scroll chaotic generators is inculcated in this system. The hyperbolic tangent function used in state equations of the chaotic generator is implemented via CORDIC (Coordinate Rotational Digital Computer) algorithm, which is an efficient algorithm to compute various trigonometric and hyperbolic functions. The above techniques are combined together to give hardware credibility to the scheme described. The randomness and the level of encryption are analyzed and validated with the help of multiple test inputs and corresponding encrypted outputs. The complete encryption and decryption flows are simulated using Xilinx Vivado 2019.1 and realized on FPGA (Field programmable gate array), Zynq 7 board, as the chosen device.
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基于CORDIC混沌发生器的图像加解密硬件设计
本文提出了一种以随机数序列发生器为核心的RGB图像加解密数字系统,并给出了其内部架构布局。在此系统中引入了SC-CNN(状态控制细胞神经网络)混沌系统,该系统在产生多涡旋混沌发生器方面具有最优的性能。混沌发生器状态方程中的双曲正切函数通过坐标旋转数字计算机(CORDIC)算法实现,该算法是一种计算各种三角函数和双曲函数的有效算法。上述技术结合在一起,为所描述的方案提供硬件可信度。通过多个测试输入和相应的加密输出,分析和验证了加密的随机性和加密级别。使用Xilinx Vivado 2019.1仿真完整的加密和解密流程,并在zynq7板FPGA(现场可编程门阵列)上实现。
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