An image encryption algorithm based on DNA sequence operations and cellular neural network

2016 ◽  
Vol 76 (11) ◽  
pp. 13681-13701 ◽  
Author(s):  
Benyamin Norouzi ◽  
Sattar Mirzakuchaki
Keyword(s):  
Neural Network ◽  
Dna Sequence ◽  
Image Encryption ◽  
Cellular Neural Network ◽  
Encryption Algorithm ◽  
Image Encryption Algorithm

scholarly journals On the Security Analysis of a Hopfield Chaotic Neural Network-Based Image Encryption Algorithm

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yingchun Hu ◽  
Simin Yu ◽  
Zeqing Zhang
Keyword(s):  
Neural Network ◽  
Image Encryption ◽  
Color Image ◽  
Security Analysis ◽  
Encryption Algorithm ◽  
Chaotic Neural Network ◽  
Chaotic Sequences ◽  
And Diffusion ◽  
Image Encryption Algorithm ◽  
Equivalent Diffusion

In this paper, the security analysis of a color image encryption algorithm based on Hopfield chaotic neural network is given. The original chaotic image encryption algorithm includes permutation encryption and diffusion encryption. The result of cryptanalysis shows that the chaotic sequences generated by this algorithm are independent of plaintext image, and there exist equivalent permutation key and equivalent diffusion key. Therefore, according to chosen-plaintext attack, the equivalent diffusion key and the equivalent permutation key can be obtained by choosing two special plaintext images and the corresponding ciphertext images, respectively, and the plaintext image is further recovered from the ciphertext image. Theoretical analysis and numerical simulation experiment results verify the effectiveness of the analytical method. Finally, some improved suggestions for the original encryption algorithm are proposed to promote the security.

Sign in / Sign up

Export Citation Format

Share Document