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ACM and rectangular images: Overlapping partitions, implementation, and periodicity analysis.

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This study introduces overlapping Arnold Cat Map (OACM) to enhance image encryption by increasing periodicity and enabling non-square image processing. OACM offers improved security against cryptographic attacks.

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Area of Science:

  • Cryptography
  • Image Processing
  • Applied Mathematics

Background:

  • Arnold Cat Map (ACM) is a chaotic map widely used in image encryption due to its pixel permutation capabilities.
  • Standard ACM suffers from low periodicity and is typically limited to square images, reducing key-space and security.
  • Existing research on overlapping ACM lacks detailed implementation and periodicity analysis.

Purpose of the Study:

  • To address the limitations of Arnold Cat Map (ACM) in image encryption.
  • To propose and analyze a novel method called overlapping ACM (OACM) for enhanced image encryption.
  • To introduce a simple symmetric encryption system utilizing OACM.

Main Methods:

  • Implementing ACM on overlapping square partitions to cover entire images.
  • Conducting a detailed analysis of the periodicity of the proposed OACM system.
  • Developing and testing a simple symmetric encryption scheme based on OACM.

Main Results:

  • OACM significantly increases the image period compared to standard ACM.
  • The proposed encryption system demonstrates reasonable performance in permutation and diffusion.
  • Histogram and sensitivity analyses suggest security against common cryptographic attacks.

Conclusions:

  • OACM effectively overcomes the low periodicity and square image limitations of standard ACM.
  • The proposed OACM-based encryption system shows potential for image security applications.
  • Further research is warranted to develop more sophisticated encryption schemes using OACM.