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CLC number: TN919.81

On-line Access: 2023-07-03

Received: 2022-12-16

Revision Accepted: 2023-07-03

Crosschecked: 2023-03-02

Cited: 0

Clicked: 1040

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Yuanyuan LI

https://orcid.org/0000-0001-8179-7426

Jianquan LU

https://orcid.org/0000-0003-4423-6034

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Frontiers of Information Technology & Electronic Engineering  2023 Vol.24 No.6 P.813-827

http://doi.org/10.1631/FITEE.2200645


A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations


Author(s):  Yuanyuan LI, Xiaoqing YOU, Jianquan LU, Jungang LOU

Affiliation(s):  Department of Applied Mathematics, College of Science, Nanjing Forestry University, Nanjing 210037, China; more

Corresponding email(s):   jqluma@seu.edu.cn

Key Words:  Compressive sensing, Coupled map lattice (CML), DNA operations, Semi-tensor product


Yuanyuan LI, Xiaoqing YOU, Jianquan LU, Jungang LOU. A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(6): 813-827.

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year="2023",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200645"
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Abstract: 
In this paper, an efficient image encryption scheme based on a novel mixed linear–nonlinear coupled map lattice (NMLNCML) system and DNA operations is presented. The proposed NMLNCML system strengthens the chaotic characteristics of the system, and is applicable for image encryption. The main advantages of the proposed method are embodied in its extensive key space; high sensitivity to secret keys; great resistance to chosen-plaintext attack, statistical attack, and differential attack; and good robustness to noise and data loss. Our image cryptosystem adopts the architecture of scrambling, compression, and diffusion. First, a plain image is transformed to a sparsity coefficient matrix by discrete wavelet transform, and plaintext-related Arnold scrambling is performed on the coefficient matrix. Then, semi-tensor product (STP) compressive sensing is employed to compress and encrypt the coefficient matrix. Finally, the compressed coefficient matrix is diffused by DNA random encoding, DNA addition, and bit XOR operation. The NMLNCML system is applied to generate chaotic elements in the STP measurement matrix of compressive sensing and the pseudo-random sequence in DNA operations. An SHA-384 function is used to produce plaintext secret keys and thus makes the proposed encryption algorithm highly sensitive to the original image. Simulation results and performance analyses verify the security and effectiveness of our scheme.

一种基于新型耦合映像格子系统和DNA运算的图像压缩加密方案

李媛媛1,游晓庆2,卢剑权3,楼俊钢4,5
1南京林业大学理学院应用数学系,中国南京市,210037
2东南大学网络空间安全学院,中国南京市,210096
3东南大学数学学院系统科学系,中国南京市,210096
4湖州师范学院长三角(湖州)智慧交通研究院,中国湖州市,313000
5浙江师范大学计算机科学与技术学院,中国金华市,321004
摘要:本文提出一种基于混合线性-非线性耦合逻辑映像格子(NMLNCML)系统和DNA运算的有效图像加密方案。所提出的NMLNCML系统增强了系统的混沌特性,适用于图像加密。该加密系统具有大量的密钥空间;对密钥的敏感性高;对选择明文攻击、统计学攻击和差分攻击具有很强的抵抗能力;并且对一定程度的噪声和数据丢失有很好的鲁棒性。提出的图像密码系统采用置乱-压缩-扩散的架构。首先,通过离散小波变换将普通图像变换为稀疏系数矩阵,并对系数矩阵执行与明文相关的Arnold置乱。然后,采用半张量积(STP)压缩感知对系数矩阵进行压缩和加密。最后,通过DNA随机编码、DNA加法,和位XOR运算来扩散压缩系数矩阵。NMLNCML系统用于在压缩传感的STP测量矩阵和DNA操作中的伪随机序列中生成混沌元素。SHA-384函数用于产生明文密钥,从而使所提出的加密算法对原始图像高度敏感。仿真结果和性能分析验证了该方案的安全性和有效性。

关键词:压缩感知;耦合映像格子(CML);DNA运算;半张量积

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