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

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  • Yingchun Hu
  • Simin Yu
  • Zeqing Zhang

Abstract

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.

Suggested Citation

  • Yingchun Hu & Simin Yu & Zeqing Zhang, 2020. "On the Security Analysis of a Hopfield Chaotic Neural Network-Based Image Encryption Algorithm," Complexity, Hindawi, vol. 2020, pages 1-10, July.
    • Handle: RePEc:hin:complx:2051653
    DOI: 10.1155/2020/2051653
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    Cited by:

    1. Lai, Qiang & Hu, Genwen & Erkan, Uǧur & Toktas, Abdurrahim, 2023. "High-efficiency medical image encryption method based on 2D Logistic-Gaussian hyperchaotic map," Applied Mathematics and Computation, Elsevier, vol. 442(C).

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