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A Multi-Directional Pixel-Swapping Approach (MPSA) for Entropy-Retained Reversible Data Hiding in Encrypted Images
Shaiju Panchikkil1, V M Manikandan1, Yudong Zhang2
1Department of Computer Science and Engineering, SRM University-AP, Amaravati 522502, Andhra Pradesh, India.
Entropy (Basel, Switzerland)
|May 16, 2023
Summary
This study introduces a novel reversible data hiding (RDH) scheme for real-time applications. The MPSA scheme offers a good balance between embedding rate and computational time while enhancing encrypted image security.
Area of Science:
- Computer Science
- Information Security
- Digital Image Processing
Background:
- Reversible data hiding (RDH) is crucial for secure data transmission in various fields.
- Existing RDH schemes often lack real-time capabilities and can compromise encrypted image security.
- There is a need for RDH solutions that balance payload capacity, computational efficiency, and security.
Purpose of the Study:
- To propose a novel RDH scheme, MPSA, suitable for real-time applications.
- To achieve high information embedding rates with minimal computational time.
- To enhance encrypted image security without altering image entropy.
Main Methods:
- The proposed scheme encrypts the cover image using a stream cipher and partitions it into blocks.
- Secret information is embedded into encrypted blocks using a controlled local pixel-swapping approach.
- The MPSA scheme allows hiding two bits per encrypted block.
Main Results:
- The MPSA scheme demonstrates a good compromise between embedding rate and computational time.
- The method effectively hides data while maintaining the original image quality and encrypted image entropy.
- Experimental results validate the scheme's competency in terms of payload and processing speed.
Conclusions:
- The MPSA scheme provides an effective solution for real-time reversible data hiding.
- It enhances data security by preserving the entropy of encrypted images.
- The proposed approach is suitable for applications requiring efficient and secure data embedding.
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