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An Image Encryption Algorithm Based on Improved Hilbert Curve Scrambling and Dynamic DNA Coding.

Shengtao Geng1, Jiahao Li1, Xuncai Zhang1

  • 1School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China.

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|August 26, 2023
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Summary
This summary is machine-generated.

This study introduces a novel image encryption algorithm using an improved Hilbert curve and DNA coding. The method enhances security by scrambling image components in spatial and frequency domains, effectively resisting attacks.

Keywords:
DNA codingDWTHilbert curvebit-level scrambleciphertext feedbackimage encryption

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Area of Science:

  • Computer Science
  • Information Security
  • Cryptography

Background:

  • Image encryption is crucial for data hiding and content protection.
  • Conventional scrambling methods have limitations in resisting sophisticated attacks.

Purpose of the Study:

  • To propose a novel image encryption algorithm for enhanced security.
  • To improve resistance against statistical and differential attacks.

Main Methods:

  • Utilizing three-level discrete wavelet transform (DWT) for image decomposition.
  • Employing an improved Hilbert curve for scrambling high- and low-frequency components.
  • Integrating dynamic DNA coding and ciphertext feedback for diffusion.

Main Results:

  • The algorithm effectively scrambles pixel positions and values.
  • Alternating spatial, frequency, and spatial domain transformations are performed.
  • Experimental results demonstrate high security and robustness.

Conclusions:

  • The proposed image encryption algorithm offers effective protection against various attacks.
  • The combination of DWT, Hilbert curve, and DNA coding provides a robust security solution.