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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
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Efficient Entropic Security with Joint Compression and Encryption Approach Based on Compressed Sensing with Multiple

Jingya Wang1, Xianhua Song1, Ahmed A Abd El-Latif2,3

  • 1School of Science, Harbin University of Science and Technology, Harbin 150080, China.

Entropy (Basel, Switzerland)
|July 27, 2022
PubMed
Summary

This study introduces a novel algorithm for concurrent image compression and encryption using compressed sensing and chaotic systems. The method offers enhanced compression performance, security, and resistance to various attacks.

Keywords:
bit-cycle operationchaotic systemcompressed sensingdouble XOR operationimage encryption

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Area of Science:

  • Computer Science
  • Information Security
  • Applied Mathematics

Background:

  • Image compression and encryption are critical for secure data transmission.
  • Existing methods often face challenges in balancing compression efficiency and security robustness.
  • Chaotic systems offer unique properties suitable for complex cryptographic applications.

Purpose of the Study:

  • To develop a novel algorithm for simultaneous image compression and encryption.
  • To leverage compressed sensing and chaotic systems for enhanced performance.
  • To evaluate the algorithm's security and efficiency against various attacks.

Main Methods:

  • Utilizing compressed sensing with two chaotic maps (2D-SLIM and 2D-SCLMS) for concurrent processing.
  • Employing discrete wavelet transform for sparse coefficient matrix generation.
  • Implementing pixel transformation, measurement matrix generation, and scrambling techniques.
  • Applying bit-cycle operation and matrix double XOR for ciphertext generation.

Main Results:

  • The proposed algorithm achieves effective image compression and encryption concurrently.
  • Simulation analysis demonstrates superior compression performance and a large key space.
  • The scheme exhibits high sensitivity to keys and robustness against statistical, violent, and noise attacks.

Conclusions:

  • The integrated compressed sensing and chaotic system approach provides an effective solution for secure image compression.
  • The algorithm demonstrates significant advantages in security, compression efficiency, and resilience.
  • This method presents a promising direction for advanced image security applications.