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This study introduces a novel image steganography method using Huffman coding and Least Significant Bits (LSB) with multi-level encryption. The technique enhances data security and payload capacity while maintaining image quality for reliable information transmission.

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Area of Science:

  • Computer Science
  • Information Security
  • Digital Image Processing

Background:

  • The internet's growth necessitates secure information exchange, with image steganography offering a solution for covert data transmission.
  • Existing steganography methods face challenges in balancing payload capacity, robustness, and visual quality.

Purpose of the Study:

  • To propose a robust and secure image steganography technique that improves payload capacity and visual quality.
  • To address the limitations of current cover steganography methods.

Main Methods:

  • A novel method combining Huffman coding, Least Significant Bits (LSB) steganography, and Multi-Level Encryption (MLE).
  • Utilizes the achromatic component of images, substitution techniques, and a magic matrix for enhanced security.
  • Statistical Assessment Metrics (SAM) like MSE, PSNR, NCC, and SSIM were used for evaluation.

Main Results:

  • The proposed HC-LSBIS-MLE-AC algorithm demonstrates high security and payload capacity.
  • Maintains good visual quality and robustness against tampering.
  • Statistical analysis confirms the algorithm's effectiveness.

Conclusions:

  • The developed steganography method offers a reliable balance between security, payload, perceptual transparency, computational efficiency, and tamper resistance.
  • Provides a promising solution for secure data hiding in images.