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Updated: Jan 19, 2026

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A reversible database watermarking method with low distortion.

Yan Li1,2, Jun Wei Wang1, Shuang Kui Ge3

  • 1State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, Henan, China.

Mathematical Biosciences and Engineering : MBE
|September 11, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel reversible database watermarking technique that minimizes data distortion. The method effectively embeds watermarks by strategically adjusting data histograms, ensuring data integrity.

Keywords:
data distortiondatabase watermarkhistogram column shifthistogram gapreversible watermark

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Area of Science:

  • Computer Science
  • Data Security
  • Information Integrity

Background:

  • Database watermarking is crucial for protecting intellectual property and ensuring data authenticity.
  • Existing methods often struggle to balance watermark imperceptibility with embedding capacity and robustness.
  • Large gaps in database integer data histograms present unique challenges for watermarking.

Purpose of the Study:

  • To propose a low-distortion, reversible database watermarking method.
  • To leverage histogram characteristics of integer data for effective watermark embedding.
  • To reduce data distortion during the watermarking process.

Main Methods:

  • Calculating attribute column tolerance and prediction error.
  • Randomly grouping database tuples based on watermark bits.
  • Constructing a histogram using prediction errors.
  • Employing a histogram correction rule for peak identification and shifting.
  • Embedding watermarks by histogram adjustment.

Main Results:

  • The proposed method significantly reduces histogram column shifts compared to existing techniques (GAHSW).
  • Watermark embedding results in greatly reduced changes to carrier data.
  • The method effectively minimizes database data distortion.

Conclusions:

  • The developed histogram gap-based watermarking method offers a low-distortion and reversible solution for database security.
  • This technique provides a significant improvement in reducing data alteration during watermark embedding.
  • It offers a promising approach for protecting sensitive database information while maintaining data integrity.