Image encryption algorithm based on improved complex chaotic system

WEI Hui; LI Guo-dong; XU Xiang-liang

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Image encryption algorithm based on improved complex chaotic system

更新时间：2026-09-04

- Image encryption algorithm based on improved complex chaotic system
- Vol. 37, Issue 4, Pages: 19-25(2020)
- 作者机构：
  
  新疆财经大学机构统计与数据科学学院,新疆,乌鲁木齐,830012
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2020
- 稿件说明：
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魏慧, 李国东, 许向亮. 基于改进的复合混沌系统的图像加密算法[J]. 微电子学与计算机, 2020, 37(4): 19-25.

WEI Hui, LI Guo-dong, XU Xiang-liang. Image encryption algorithm based on improved complex chaotic system[J]. 2020, 37(4): 19-25.
魏慧, 李国东, 许向亮. 基于改进的复合混沌系统的图像加密算法[J]. 微电子学与计算机, 2020, 37(4): 19-25. DOI：

WEI Hui, LI Guo-dong, XU Xiang-liang. Image encryption algorithm based on improved complex chaotic system[J]. 2020, 37(4): 19-25. DOI：

摘要

针对单一混沌系统加密不足的问题：主要提出的算法是基于改进的LCL复合混沌系统和DFT变化的图像加密算法.首先对图像DFT变换，应用高维Lorenz系统产生的混沌序列进行随机组合排列，将得到的一组索引序列结合改进的Cat系统对明文图像进行置乱；其次，采用超Lorenz混沌系统设计得到Logistic映射的伪随机序列，将其进行异或处理得到密文图像；为了达到加密效果更优良的目的，重复以上步骤进行循环加密处理.仿真结果表明本文设计算法具有优良的加密效果，密钥空间大、明密文敏感性强、能有效抵抗统计攻击等.

Abstract

Aiming at the problem of insufficient encryption of a single chaotic system

the main proposed algorithm is an image encryption algorithm based on improved LCL composite chaotic system and DFT variation. Firstly

DFT transformation of images is carried out

chaotic sequences generated by high-dimensional Lorenz system are randomly combined and arranged

and a group of obtained index sequences are combined with an improved Cat system to scramble plaintext images; Secondly

the pseudo-random sequence of Logistic map is designed by using hyper-Lorenz chaotic system

and the encrypted image is obtained by XOR processing. In order to achieve better encryption effect

repeat the above steps for cyclic encryption. The simulation results show that the algorithm designed in this paper has excellent encryption effect

large key space

strong sensitivity to plaintext

and can effectively resist statistical attacks.

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references

ZHANG W, WONG K W, YU H, et al. An image encryption scheme using reverse 2-dimensional chaotic map and dependent diffusion [J]. Communications in Nonlinear Science and Numerical Simulation, 2013, 18(8):2066-2080. DOI: 2066

WANG J, CHEN G.Design of a Chaos-Based Digital Image Encryption Algorithm in Time Domain[C]//IEEE International Conference on Computational Intelligence%Communication Technology. IEEE, 2015: 26-29.

尹晓燕.基于混沌技术的图像加密算法研究与实现[D].大连, 大连海事大学, 2008.

谢国波, 朱润盈.复合级联混沌的彩色图像加密算法[J].计算机工程与应用, 2018, 54(08):189-194. DOI: 189

ZHOU Y, BAO L, CHEN C.A new 1D chaotic system for image encryption [J].Signal Processing, 2014, 97(7): 172-182. DOI: 172

汪乐乐, 李国东.基于游程性序列的双重混沌的图像加密算法[J].计算机科学, 2018, 45(S2):361-366. DOI: 361

李巧君, 张亚楠.基于混沌映射的图像快速加密改进算法[J].计算机测量与控制, 2014, 22(10):3270-3273. DOI: 3270

汪乐乐, 李国东.最优解与二维离散分数阶Fourier的双混沌加密算法[J].中国科技论文, 2018, 13(17):2024-2031. DOI: 2024

谢国波, 姜先值.二维离散分数阶Fourier变换的双混沌图像加密算法[J].计算机工程与应用, 2018, 54(03):40-45. DOI: 40

缑新科, 吴贻峰.基于复合混沌的数字图像加密算法[J].计算机与数字工程, 2018, 46(12):2574-2579. DOI: 2574

SPROTT J C. A new class of chaotic circuit[J]. Physics Letters A, 2000, 266(1):19-23. DOI: 19

杨洋, 杨洁, 冯久超.一种基于Arnold置乱和优化大素数选取方案的RSA数字图像加密算法[J].计算机科学, 2013, 40(S2):178-180. DOI: 178

谢国波, 苏本卉.基于Arnold分层循环变换的数字图像加密算法[J].计算机工程与设计, 2017, 38(05):1200-1204. DOI: 1200

赵国敏, 李国东.基于广义Henon映射以及CNN超混沌系统图像加密方案[J].信阳师范学院学报(自然科学版), 2015, 28(01):141-145. DOI: 141

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