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An Image Compression Encryption Algorithm Based on Chaos and ZUC Stream Cipher.

Xiaomeng Song1, Mengna Shi1, Yanqi Zhou1

  • 1Electrical Engineering College, Heilongjiang University, Harbin 150080, China.

Entropy (Basel, Switzerland)
|May 28, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel image encryption method combining the ZUC stream cipher and chaotic compressed sensing for enhanced transmission efficiency and security. The new algorithm offers superior encryption and compression performance, improving image restoration and reducing block effects.

Keywords:
ZUC stream cipherchaoscompressed sensingimage encryption

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Area of Science:

  • Cryptography
  • Information Security
  • Signal Processing

Background:

  • Traditional image encryption methods face challenges in balancing security, efficiency, and image quality.
  • Stream ciphers and compressed sensing offer potential for robust image encryption but require integration for optimal performance.

Purpose of the Study:

  • To develop an efficient and secure image encryption technique by integrating the ZUC stream cipher with chaotic compressed sensing.
  • To enhance the randomness of chaotic sequences and improve the image restoration quality.
  • To mitigate the block effect inherent in parallel compressed sensing operations.

Main Methods:

  • A hybrid approach combining the ZUC stream cipher with chaotic compressed sensing for image encryption.
  • Utilizing parallel compressed sensing for efficient encryption and decryption processes.
  • Employing a sampled chaotic sequence from the ZUC stream cipher to construct the compressed sensing measurement matrix.
  • Implementing a random blocking technique to address block effects post-encryption.

Main Results:

  • The proposed algorithm demonstrates improved encryption and compression efficiency compared to existing methods.
  • Enhanced randomness of the chaotic sequence, leading to better image restoration.
  • Effective reduction of the block effect, preserving image integrity.
  • Overall superior performance in both security and transmission efficiency.

Conclusions:

  • The integration of ZUC stream cipher and chaotic compressed sensing provides a powerful framework for secure and efficient image encryption.
  • The developed method effectively addresses key challenges in image encryption, offering a promising solution for practical applications.
  • Further research can explore variations in chaotic maps and sampling techniques for even greater security and efficiency.