Reversible Data Hiding in Encrypted Image Using Multiple Data-Hiders Sharing Algorithm

Area of Science:

• Computer Science
• Information Security
• Cryptography

Background:

• Reversible Data Hiding in Encrypted Images (RDHEI) enables secret data embedding in encrypted images.
• Existing RDHEI methods face challenges with embedding capacity and multi-user scenarios.

Purpose of the Study:

• To propose a novel RDHEI technique combining Shamir's Secret Sharing and multi-project construction.
• To enhance embedding rates and support multiple hidden data streams.

Main Methods:

• Pixels are grouped, and their values are hidden as polynomial coefficients.
• Shamir's Secret Sharing is applied to embed the secret key into the polynomial.
• Galois Field calculations generate shared pixels, which are then embedded into a shared image.

Main Results:

• The proposed approach achieves a multi-hider mechanism.
• Each shared image maintains a fixed embedding rate, irrespective of the number of shared images.
• Experimental results show an improved embedding rate compared to previous methods.

Conclusions:

• The developed RDHEI technique offers an efficient and secure method for data hiding in encrypted images.
• The method demonstrates superior performance in terms of embedding rate and multi-hider capability.