To address the challenges of image encryption and decryption in the field of information security, this paper proposes a multi-channel fusion image encryption and decryption algorithm based on DNA sequences. Initially, a random key is generated using the Chen chaotic system. This key is then combined with eight DNA mapping methods that comply with the Watson-Crick rule to encode the original image data and a disordered matrix, resulting in corresponding base sequences. Boolean operations are performed on these base sequences, and the results are decoded using the DNA mapping methods to obtain the encrypted image. Finally, the encrypted image undergoes analysis for information entropy and gray value correlation. Simulation results demonstrate that transforming the three-dimensional matrix of a color image into a two-dimensional matrix for data processing significantly enhances encryption performance.

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Image Encryption and Decryption Algorithm Based on DNA Sequence: Performance Analysis of Channel Fusion Processing

  • Weijie Gao,
  • Qiang Liu,
  • Kun Yang

摘要

To address the challenges of image encryption and decryption in the field of information security, this paper proposes a multi-channel fusion image encryption and decryption algorithm based on DNA sequences. Initially, a random key is generated using the Chen chaotic system. This key is then combined with eight DNA mapping methods that comply with the Watson-Crick rule to encode the original image data and a disordered matrix, resulting in corresponding base sequences. Boolean operations are performed on these base sequences, and the results are decoded using the DNA mapping methods to obtain the encrypted image. Finally, the encrypted image undergoes analysis for information entropy and gray value correlation. Simulation results demonstrate that transforming the three-dimensional matrix of a color image into a two-dimensional matrix for data processing significantly enhances encryption performance.