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Quantum Image Encryption Based on Quantum DNA Codec and Pixel-Level Scrambling.

Jie Gao1, Yinuo Wang2, Zhaoyang Song1

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Entropy (Basel, Switzerland)
|June 28, 2023
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Summary
This summary is machine-generated.

This study introduces a novel quantum image encryption technique using a quantum DNA codec and quantum Hilbert scrambling. The method enhances security and robustness against attacks for quantum images.

Keywords:
DNA codingquantum image encryptionquantum image scramblingquantum information

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Area of Science:

  • Quantum Information Science
  • Cryptography
  • Image Processing

Background:

  • Quantum image encryption is crucial for secure data transmission.
  • Existing methods face challenges in robustness and security against sophisticated attacks.
  • The need for advanced encryption techniques in quantum computing is growing.

Purpose of the Study:

  • To develop an enhanced quantum image encryption technique.
  • To improve the security and robustness of quantum images.
  • To combine quantum DNA codec and quantum Hilbert scrambling for superior encryption.

Main Methods:

  • Developed a quantum DNA codec for pixel-level diffusion and key space expansion.
  • Applied quantum Hilbert scrambling to obfuscate image position data.
  • Utilized a quantum XOR operation with the scrambled image as a key matrix.
  • Ensured reversibility of all quantum operations for decryption.

Main Results:

  • Achieved high average information entropy (>7.999) across RGB channels.
  • Demonstrated high average NPCR (99.61%) and UACI (33.42%).
  • Confirmed uniform ciphertext image histogram peaks, indicating effective diffusion.

Conclusions:

  • The proposed technique significantly enhances anti-attack capabilities for quantum images.
  • The method offers superior security and robustness compared to previous algorithms.
  • The encryption is resilient against statistical analysis and differential attacks.