A Stream/Block Combination Image Encryption Algorithm Using Logistic Matrix to Scramble

Author(s):  
Xing-Yuan Wang ◽  
Zhi-Ming Li

AbstractIn this paper, a new chaotic image encryption scheme is proposed, which uses the combination of stream cipher and block cipher to spread and then uses the Logistic mapping matrix to perform the block sort transformation to complete the confusion. The specific method is as follows: First, perform the triple XOR operation, non-linear S-box transformation and linear cyclic shift transformation on the key. Second, the triple XOR operation of the transformed key and the plaintext and Logistic mapping sequence are used to obtain the semi-ciphertext. And set the obtained semi-ciphertext and plaintext as key components of the next round of encryption. Finally, the transformation of sorting and partition of the Logistic mapping matrix are used to confuse the semi-ciphertext. The experimental results show that the proposed algorithm improves the encryption efficiency, has good security and can resist common attacks.

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Jiming Zheng ◽  
Zheng Luo ◽  
Zhirui Tang

In this paper, an improved two-dimensional logistic-sine coupling map (N2D-LSCM) and an improved Henon map (NHenon) are proposed. Furthermore, by combining N2D-LSCM and NHenon map, an image encryption algorithm is proposed based on these two chaotic systems and DNA coding. The chaotic sequences generated by N2D-LSCM are used as the parameters of NHenon. In the scrambling stage, DNA encoding is carried out for pixels after scrambling by two chaotic sequences generated by N2D-LSCM; in the stage of diffusion, DNA random coding acts on random matrix obtained by two chaotic sequences generated by NHenon, and DNA XOR operation is carried out with the image obtained in the scrambling stage to diffuse. Compared with other 2D map for image encryption algorithm, this algorithm exhibits good security and holds high efficiency.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Kun Zhang ◽  
Jian-bo Fang

In order to solve the security problem of transmission image across public networks, a new image encryption algorithm based on TD-ERCS system and wavelet neural network is proposed in this paper. According to the permutation process and the binary XOR operation from the chaotic series by producing TD-ERCS system and wavelet neural network, it can achieve image encryption. This encryption algorithm is a reversible algorithm, and it can achieve original image in the rule inverse process of encryption algorithm. Finally, through computer simulation, the experiment results show that the new chaotic encryption algorithm based on TD-ERCS system and wavelet neural network is valid and has higher security.


2017 ◽  
Vol 28 (05) ◽  
pp. 1750069 ◽  
Author(s):  
Xiuli Chai ◽  
Zhihua Gan ◽  
Yang Lu ◽  
Yiran Chen ◽  
Daojun Han

A novel image encryption algorithm using the chaotic system and deoxyribonucleic acid (DNA) computing is presented. Different from the traditional encryption methods, the permutation and diffusion of our method are manipulated on the 3D DNA matrix. Firstly, a 3D DNA matrix is obtained through bit plane splitting, bit plane recombination, DNA encoding of the plain image. Secondly, 3D DNA level permutation based on position sequence group (3DDNALPBPSG) is introduced, and chaotic sequences generated from the chaotic system are employed to permutate the positions of the elements of the 3D DNA matrix. Thirdly, 3D DNA level diffusion (3DDNALD) is given, the confused 3D DNA matrix is split into sub-blocks, and XOR operation by block is manipulated to the sub-DNA matrix and the key DNA matrix from the chaotic system. At last, by decoding the diffused DNA matrix, we get the cipher image. SHA 256 hash of the plain image is employed to calculate the initial values of the chaotic system to avoid chosen plaintext attack. Experimental results and security analyses show that our scheme is secure against several known attacks, and it can effectively protect the security of the images.


2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Liang-Jia Tong ◽  
Nan-Run Zhou ◽  
Zhi-Jing Huang ◽  
Xin-Wen Xie ◽  
Ya-Ru Liang

A nonlinear multi-image encryption scheme is proposed by combining the reality-preserving discrete fractional angular transform with the deoxyribonucleic acid sequence operations. Four approximation coefficients of the four images are extracted by performing the two-dimensional lifting wavelet transform. Then, the four approximation coefficients are synthesized to generate a real-valued output with the reality-preserving discrete fractional angular transform. Finally, based on the deoxyribonucleic acid operation and the Logistic-sine system, the real-valued intermedium output will be encrypted to yield the final ciphertext image. To enhance the security of the image encryption algorithm, the initial value of the chaotic system is calculated by the 256-bit binary sequence, which is obtained by taking the statistics information of the plaintext images as the input of SHA-256. Deoxyribonucleic acid sequence operations, as nonlinear processes, could help to improve the robustness of the cryptosystem. Simulation results and security analysis demonstrate the effectiveness of the image encryption algorithm and the capability of withstanding various common attacks.


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