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Multiscale two-dimensional permutation entropy to analyze encrypted images.

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Area of Science:

  • Information Theory
  • Image Processing
  • Cryptography

Background:

  • Permutation entropy is a valuable tool for analyzing time series complexity.
  • Assessing the security of encrypted images is crucial in digital security.

Purpose of the Study:

  • To explore multiscale weighted and non-weighted permutation entropy for 2D data.
  • To apply these entropy measures for analyzing encrypted images.

Main Methods:

  • Implementation of multiscale versions of weighted and non-weighted permutation entropy.
  • Analysis of encrypted images using varying security levels and encryption algorithms.

Main Results:

  • The study compares results from different experimental setups using these entropy measures.
  • Demonstrates the effectiveness of permutation entropy in characterizing image encryption.

Conclusions:

  • Multiscale permutation entropy offers a robust method for evaluating image encryption security.
  • The proposed approach provides insights into the complexity and randomness of encrypted images.