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A New Algorithm for Medical Color Images Encryption Using Chaotic Systems.

Seyed Shahabeddin Moafimadani1, Yucheng Chen1, Chunming Tang1

  • 1School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary

This study introduces a novel chaotic system algorithm for secure medical image protection. The developed method effectively safeguards images against various attacks, ensuring high-quality encryption and decryption.

Keywords:
RGBchaotic systemimage encryptionmedical color images

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Area of Science:

  • Computer Science
  • Medical Imaging
  • Cryptography

Background:

  • Medical images require robust protection against unauthorized access and malicious attacks.
  • Existing image protection algorithms may lack efficiency or comprehensive security features.

Purpose of the Study:

  • To develop and evaluate a new algorithm for medical image protection using chaotic systems.
  • To enhance the security and quality of medical images against various threats.

Main Methods:

  • A novel algorithm combining high-speed permutation and adaptive diffusion based on chaotic systems.
  • Implementation in MATLAB software for practical testing and validation.
  • Quantitative evaluation using chi-square tests, key sensitivity analysis, and entropy calculations.

Main Results:

  • The algorithm demonstrates effectiveness and appropriateness for medical image protection.
  • High security is confirmed through key sensitivity analysis; small key changes render decryption impossible.
  • The method shows resilience against noise and occlusion attacks, maintaining good image quality post-encryption/decryption.

Conclusions:

  • The proposed chaotic system-based algorithm offers a suitable and effective solution for medical image security.
  • The algorithm outperforms previous methods in terms of security, robustness, and image quality preservation.
  • Metrics like correlation coefficients, entropy, NPCR, and UACI indicate superior performance.