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Fuzzy proximity-based robust data hiding scheme with interval threshold.

Prabhash Kumar Singh1,2, Biswapati Jana1, Kakali Datta2

  • 1Department of Computer Science, Vidyasagar University, West Midnapore, West Bengal India.

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Summary
This summary is machine-generated.

This study introduces a robust data hiding scheme using Mamdani fuzzy logic for secure secret communication. The method ensures high visual quality, imperceptibility, and security through similarity measures and a post-processing system.

Keywords:
Data hidingFuzzy logicProximitySteganalysisTampering

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Area of Science:

  • Computer Science
  • Information Security
  • Artificial Intelligence

Background:

  • Secure secret communication necessitates trustworthy data hiding techniques.
  • Existing methods may compromise visual quality, robustness, or imperceptibility.
  • The Gestalt principle highlights the importance of proximity in visual perception.

Purpose of the Study:

  • To develop a robust data hiding scheme enhancing security and visual quality.
  • To utilize Mamdani fuzzy logic for accurate color proximity assessment at the block level.
  • To improve data recoverability and accuracy through a post-processing system.

Main Methods:

  • Employed Mamdani fuzzy logic to compute fuzzy proximity based on color difference (colordiff) and spatial closeness.
  • Integrated a shared secret key for sequential data embedding.
  • Implemented a post-processing approach to resolve tampering coincidence issues.

Main Results:

  • The proposed scheme demonstrates effective data hiding with good visual quality and imperceptibility.
  • Experimental analysis and steganalysis confirm the scheme's robustness and high recoverability.
  • Comparisons validate the superiority of the proposed method in terms of structural similarity.

Conclusions:

  • The Mamdani fuzzy logic-based data hiding scheme offers a secure and effective solution for sensitive data transmission.
  • The integration of similarity measures and post-processing significantly enhances the scheme's performance.
  • The method provides a strong balance between security, visual quality, and robustness.