4.6 Article

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

Journal

ENTROPY
Volume 25, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/e25020209

Keywords

encrypted image; reversible data hiding; secret sharing; multi-hider mechanism

Ask authors/readers for more resources

This paper proposes an RDHEI technique based on Shamir's Secret Sharing technique and multi-project construction technique, which allows the hiding of pixel values in the coefficients of a polynomial and the substitution of a secret key using Shamir's Secret Sharing technology. The experimental results demonstrate that our approach has a multi-hider mechanism and fixed embedding rate.
Reversible Data Hiding in Encrypted Image (RDHEI) is a technology for embedding secret information in an encrypted image. It allows the extraction of secret information and lossless decryption and the reconstruction of the original image. This paper proposes an RDHEI technique based on Shamir's Secret Sharing technique and multi-project construction technique. Our approach is to let the image owner hide the pixel values in the coefficients of the polynomial by grouping the pixels and constructing a polynomial. Then, we substitute the secret key into the polynomial through Shamir's Secret Sharing technology. It enables the Galois Field calculation to generate the shared pixels. Finally, we divide the shared pixels into 8 bits and allocate them to the pixels of the shared image. Thus, the embedded space is vacated, and the generated shared image is hidden in the secret message. The experimental results demonstrate that our approach has a multi-hider mechanism and each shared image has a fixed embedding rate, which does not decrease as more images are shared. Additionally, the embedding rate is improved compared with the previous approach.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available