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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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A Color Image Encryption Algorithm Based on Double Fractional Order Chaotic Neural Network and Convolution Operation.

Nanming Li1, Shucui Xie2, Jianzhong Zhang3

  • 1School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710121, China.

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

This study introduces a novel color image encryption method using fractional order chaotic neural networks (CNNs) and dynamic DNA encoding. The algorithm offers enhanced randomness and security against cryptanalysis attacks.

Keywords:
DNA encodingconvolution operationfractional order chaotic systemimage encryptionneural network

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Area of Science:

  • Cryptography
  • Image Processing
  • Neural Networks

Background:

  • Traditional image encryption methods face challenges in achieving high security and efficiency.
  • The integration of chaotic systems and DNA computing offers novel approaches for secure data transmission.

Purpose of the Study:

  • To propose a novel color image encryption algorithm leveraging advanced techniques.
  • To enhance the security and randomness of image encryption through fractional order chaotic neural networks and DNA encoding.

Main Methods:

  • Development of a color image encryption algorithm utilizing double fractional order chaotic neural networks (CNNs).
  • Implementation of interlaced dynamic deoxyribonucleic acid (DNA) encoding and decoding for evolutionary encryption characteristics.
  • Incorporation of zigzag confusion, bidirectional bit-level diffusion, and convolution operations for enhanced key sensitivity and security.

Main Results:

  • The proposed fractional order CNNs generate sequences with superior randomness, as validated by the spectral entropy (SE) algorithm.
  • The algorithm demonstrates high key sensitivity due to the convolution operation.
  • Simulation results and security analysis confirm the algorithm's robust performance against classical cryptanalysis.

Conclusions:

  • The proposed algorithm provides a secure and efficient method for color image encryption.
  • The combination of fractional order CNNs, DNA encoding, and advanced cryptographic operations significantly enhances encryption security.
  • The algorithm is resilient to various cryptanalytic attacks, making it suitable for practical applications.