Denoising and copy attacks resilient watermarking by exploiting prior knowledge at detector

Area of Science:

• Digital Watermarking
• Information Security
• Signal Processing

Background:

• Achieving both oblivious detection and high robustness in digital watermarking remains a significant challenge.
• Denoising techniques, while enabling blind detection, can be exploited in attacks like copy, false positive, or denoising and remodulation, leading to false negatives.
• Existing watermarking schemes are vulnerable to watermark estimation-based attacks.

Purpose of the Study:

• To address the challenge of developing a watermarking scheme with both oblivious detection and high robustness.
• To propose a novel watermarking methodology that exploits detector-side prior knowledge.
• To design a nonblind embedder resistant to known watermark estimation attacks.

Main Methods:

• Exploiting prior knowledge at the detector side to design a nonblind embedder.
• Developing a watermarking scheme that leverages detector-specific information.
• Conducting false negative and false positive analyses to evaluate scheme performance.

Main Results:

• The proposed watermarking scheme demonstrates resistance to two famous watermark estimation-based attacks.
• Experimental results validate the effectiveness and power of the new watermarking method.
• The scheme successfully balances detection capabilities with robustness against attacks.

Conclusions:

• The developed watermarking scheme offers a robust solution for secure data embedding.
• The methodology effectively overcomes limitations of existing blind detection watermarking systems.
• The proposed approach provides a powerful and reliable method for digital watermarking applications.