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基于多重离散动力映射的新型混沌图像加密技术的密码分析

Cryptanalysis of a New Chaotic Image Encryption Technique Based on Multiple Discrete Dynamical Maps.

作者信息

Fan Haiju, Zhang Chenjiu, Lu Heng, Li Ming, Liu Yanfang

机构信息

College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.

Engineering Lab of Intelligence Business & Internet of Things, Xinxiang 453007, China.

出版信息

Entropy (Basel). 2021 Nov 26;23(12):1581. doi: 10.3390/e23121581.

Abstract

Recently, a new chaotic image encryption technique was proposed based on multiple discrete dynamic maps. The authors claim that the scheme can provide excellent privacy for traditional digital images. However, in order to minimize the computational cost, the encryption scheme adopts one-round encryption and a traditional permutation-diffusion structure. Through cryptanalysis, there is no strong correlation between the key and the plain image, which leads to the collapse of cryptosystem. Based on this, two methods of chosen-plaintext attacks are proposed in this paper. The two methods require 3 pairs and 258 pairs of plain and cipher images, respectively, to break the original encryption system. The simulation results show the effectiveness of the two schemes.

摘要

最近,基于多个离散动态映射提出了一种新的混沌图像加密技术。作者声称该方案可以为传统数字图像提供出色的保密性。然而,为了最小化计算成本,该加密方案采用一轮加密和传统的置换-扩散结构。通过密码分析发现,密钥与明文图像之间没有强相关性,这导致密码系统崩溃。基于此,本文提出了两种选择明文攻击方法。这两种方法分别需要3对和258对明文和密文图像来破解原始加密系统。仿真结果表明了这两种方案的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7f1/8700222/48639e6b2d07/entropy-23-01581-g001.jpg

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