On the Security Analysis of a Hopfield Chaotic Neural Network-Based Image Encryption Algorithm
Joint Authors
Hu, Yingchun
Zhang, Zeqing
Yu, Simin
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Hu, Yingchun& Yu, Simin& Zhang, Zeqing. 2020. On the Security Analysis of a Hopfield Chaotic Neural Network-Based Image Encryption Algorithm. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139996
Modern Language Association (MLA)
Hu, Yingchun…[et al.]. On the Security Analysis of a Hopfield Chaotic Neural Network-Based Image Encryption Algorithm. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139996
American Medical Association (AMA)
Hu, Yingchun& Yu, Simin& Zhang, Zeqing. On the Security Analysis of a Hopfield Chaotic Neural Network-Based Image Encryption Algorithm. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139996
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139996