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Double layer steganography technique using DNA sequences and images.

Asia Othman Aljahdali1, Omnia Abdullah Al-Harbi2

  • 1Cybersecurity Department, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia.

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|June 22, 2023
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Summary
This summary is machine-generated.

This study introduces a novel multilevel steganography technique combining DNA sequences and image embedding. The method enhances data security and demonstrates robustness against common attacks, particularly for PNG and BMP image formats.

Keywords:
DNA sequencesPSNRSteganographyStego image

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Area of Science:

  • Information Security
  • Data Communication
  • Cryptography

Background:

  • Information security faces increasing challenges due to technological advancements.
  • Exchanging private information over open networks elevates the risk of cyberattacks.
  • Steganography offers a method to conceal data within cover objects, enhancing secrecy.

Purpose of the Study:

  • To develop a robust multilevel steganography technique for enhanced data security.
  • To combine DNA sequences and image steganography for a two-level security system.
  • To create a method resilient against various information security attacks.

Main Methods:

  • Implemented a multi-layer steganography mechanism using DNA sequences and digital images.
  • Embedded secret messages into DNA sequences via a substitution algorithm.
  • Utilized the Discrete Cosine Transform (DCT) to embed modified DNA data into images.

Main Results:

  • The proposed technique proved resistant to histogram and chi-square attacks.
  • Near-identical histograms between original and stego images (max mean value of 0.05) indicate high imperceptibility.
  • Excellent imperceptibility ratios were observed for PNG and BMP images, with high PSNR and low MSE values.

Conclusions:

  • The developed multilevel steganography technique effectively enhances data secrecy and security.
  • The combination of DNA and image steganography provides a robust defense against attacks.
  • The method is particularly effective with lossless image formats like PNG and BMP, though JPG showed limitations.