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基于序列发生器和混沌测量矩阵的图像并行加密技术

Image Parallel Encryption Technology Based on Sequence Generator and Chaotic Measurement Matrix.

作者信息

Yu Jiayin, Guo Shiyu, Song Xiaomeng, Xie Yaqin, Wang Erfu

机构信息

Key Lab of Electronic and Communication Engineering, Heilongjiang University, Harbin 150080, China.

出版信息

Entropy (Basel). 2020 Jan 6;22(1):76. doi: 10.3390/e22010076.

DOI:10.3390/e22010076
PMID:33285850
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516511/
Abstract

In this paper, a new image encryption transmission algorithm based on the parallel mode is proposed. This algorithm aims to improve information transmission efficiency and security based on existing hardware conditions. To improve efficiency, this paper adopts the method of parallel compressed sensing to realize image transmission. Compressed sensing can perform data sampling and compression at a rate much lower than the Nyquist sampling rate. To enhance security, this algorithm combines a sequence signal generator with chaotic cryptography. The initial sensitivity of chaos, used in a measurement matrix, makes it possible to improve the security of an encryption algorithm. The cryptographic characteristics of chaotic signals can be fully utilized by the flexible digital logic circuit. Simulation experiments and analyses show that the algorithm achieves the goal of improving transmission efficiency and has the capacity to resist illegal attacks.

摘要

本文提出了一种基于并行模式的新型图像加密传输算法。该算法旨在基于现有硬件条件提高信息传输效率和安全性。为提高效率,本文采用并行压缩感知方法实现图像传输。压缩感知能够以远低于奈奎斯特采样率的速率进行数据采样和压缩。为增强安全性,该算法将序列信号发生器与混沌密码学相结合。测量矩阵中使用的混沌初始敏感性使得提高加密算法的安全性成为可能。灵活的数字逻辑电路能够充分利用混沌信号的加密特性。仿真实验与分析表明,该算法实现了提高传输效率的目标,并且具有抵抗非法攻击的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/a3e71964637b/entropy-22-00076-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/d3670ff416ed/entropy-22-00076-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/7b7bcacecb44/entropy-22-00076-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/6f90a1a3d8ea/entropy-22-00076-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/875cfd343be5/entropy-22-00076-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/738a75866eb6/entropy-22-00076-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/5aaf0035703f/entropy-22-00076-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/d4f9f5f8166e/entropy-22-00076-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/1ca97d375d7e/entropy-22-00076-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/92aed5aa8db0/entropy-22-00076-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/a3e71964637b/entropy-22-00076-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/d3670ff416ed/entropy-22-00076-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/7b7bcacecb44/entropy-22-00076-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/6f90a1a3d8ea/entropy-22-00076-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/875cfd343be5/entropy-22-00076-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/738a75866eb6/entropy-22-00076-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/5aaf0035703f/entropy-22-00076-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/d4f9f5f8166e/entropy-22-00076-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/1ca97d375d7e/entropy-22-00076-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/92aed5aa8db0/entropy-22-00076-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b6a/7516511/a3e71964637b/entropy-22-00076-g010.jpg

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本文引用的文献

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Entropy (Basel). 2021 Feb 25;23(3):278. doi: 10.3390/e23030278.
4
Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-Excited Attractors II.具有隐藏和自激吸引子的复杂系统的非线性动力学与熵II。
Entropy (Basel). 2020 Dec 18;22(12):1428. doi: 10.3390/e22121428.
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A Chaotic-Based Encryption/Decryption Framework for Secure Multimedia Communications.一种用于安全多媒体通信的基于混沌的加密/解密框架。
Entropy (Basel). 2020 Nov 4;22(11):1253. doi: 10.3390/e22111253.
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Image Encryption Using Elliptic Curves and Rossby/Drift Wave Triads.使用椭圆曲线和罗斯比/漂移波三元组的图像加密
Entropy (Basel). 2020 Apr 16;22(4):454. doi: 10.3390/e22040454.