用于凭证认证的斑点视觉加密技术

Applied optics Pub Date : 2024-06-01 DOI:10.1364/AO.522918
Anqing Jiao, Yupeng Zhu, Zhaoke Mi, Xinlong Zhou, Qiaofen Zhu, Changjun Ke, Yishi Shi
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引用次数: 0

摘要

根据自然斑点图像的高随机分布特性,我们设计了一种新的斑点视觉密码学方法,将自然斑点图像与视觉密码学中的秘钥结合起来。具体来说,我们设计了一种结合斑点视觉密码学和二维码的用户凭证认证系统。利用斑点视觉密码学方法,将携带用户认证信息的二维码图像隐藏在斑点图像中,并将斑点图像打印在纸质凭证上。通过仿真和模拟实验,我们验证了将斑点视觉密码学应用于用户凭证认证系统的可能性,比较了改进的灰度重排序算法和灰度重排序算法,并通过比较 PSNR 和 SSIM 证明改进的灰度重排序算法在该系统中更具优势。最后,分析了系统中虚拟秘钥的抗干扰能力和唯一性,证明秘钥具有较高的抗干扰能力和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speckle visual cryptography for credential authentication.

Based on the high random distribution characteristic of the natural speckle image, a new method of speckle visual cryptography, to the best of our knowledge, is designed by combining the natural speckle image with the secret key in visual cryptography. Specifically, we designed an authentication system for user credentials by combining speckle visual cryptography and the QR code. By using the speckle visual cryptography method, the image of the QR code carrying user authentication information is hidden in the speckle image, and the speckle image is printed on the paper credentials. Through a simulation and analog experiments, we verify the possibility of applying speckle visual cryptography to a user credentials authentication system, compare the improved grayscale reordering algorithm and grayscale reordering algorithm, and prove that the improved grayscale reordering algorithm has more advantages in this system by comparing the PSNR and SSIM. Finally, the y-interference ability and the uniqueness of the virtual secret key in the system are analyzed to prove that the secret key has high anti-interference ability and security.

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