Suppr超能文献

基于二维码和分数傅里叶变换域中改进的双随机相位编码的增强安全性多图像加密

Security-enhanced multiple-image encryption based on quick response codes and modified double random phase encoding in the fractional Fourier transform domain.

作者信息

Wang Zhihan, Su Yanfeng, Wang Xunyuan, Wang Boyu, Li Shun, Liu Chen, Li Jinsong, Cai Zhijian, Wan Wenqiang

出版信息

Appl Opt. 2022 Aug 20;61(24):7255-7264. doi: 10.1364/AO.463101.

Abstract

A security-enhanced multiple-image encryption method is proposed based on quick response (QR) codes and modified double random phase encoding (DRPE) in the fractional Fourier transform (FrFT) domain in this paper, where each plaintext is first converted into QR code, and then each QR code is employed to generate the corresponding binary key for decryption with the help of random binary plaintext (RBP). Subsequently, the used RBP is encrypted into noise-like ciphertext by using the modified DRPE in the FrFT domain. In the modified DRPE method, the first random phase mask is activated by the initial FrFT with chaotic phase, and the wavelength of light and the fractional orders as well as the focal lengths of lenses are all used as digital keys to expand the key space. Moreover, the sensitivities of these digital keys are extremely high because the digital keys are closely mapped with the initial values of the chaotic system in the encryption process, which contributes to an extremely high security of the multiple-image encryption method. Furthermore, the high feasibility and strong robustness of the proposed security-enhanced multiple-image encryption method are also demonstrated by using computational simulations.

摘要

本文提出了一种基于二维码和分数阶傅里叶变换(FrFT)域中改进的双随机相位编码(DRPE)的增强安全性的多图像加密方法,其中每个明文首先被转换为二维码,然后借助随机二进制明文(RBP),每个二维码被用于生成相应的解密二进制密钥。随后,通过在FrFT域中使用改进的DRPE将所使用的RBP加密为类似噪声的密文。在改进的DRPE方法中,第一个随机相位掩模由具有混沌相位的初始FrFT激活,并且光的波长、分数阶以及透镜的焦距都被用作数字密钥以扩展密钥空间。此外,这些数字密钥的敏感度极高,因为在加密过程中数字密钥与混沌系统的初始值紧密映射,这使得多图像加密方法具有极高的安全性。此外,通过计算模拟也证明了所提出的增强安全性的多图像加密方法具有高可行性和强鲁棒性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验