scholarly journals A new image encryption algorithm based on heterogeneous chaotic neural network generator and dna encoding

2018 ◽  
Vol 77 (19) ◽  
pp. 24701-24725 ◽  
Author(s):  
Gururaj Maddodi ◽  
Abir Awad ◽  
Dounia Awad ◽  
Mirna Awad ◽  
Brian Lee
Keyword(s):  
Neural Network ◽  
Image Encryption ◽  
Encryption Algorithm ◽  
Dna Encoding ◽  
Chaotic Neural Network ◽  
Network Generator ◽  
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.

scholarly journals An Image Encryption Algorithm Based on Multichaotic System and DNA Coding

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Jiming Zheng ◽  
Zheng Luo ◽  
Zhirui Tang
Keyword(s):  
Image Encryption ◽  
Chaotic Systems ◽  
High Efficiency ◽  
Encryption Algorithm ◽  
Two Dimensional ◽  
Dna Encoding ◽  
Dna Coding ◽  
Chaotic Sequences ◽  
Xor Operation ◽  
Image Encryption Algorithm

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.

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