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High Capacity Reversible Data Hiding in Encrypted Transform Domain for Privacy Protection


K.A. Jeeva and V.S. Sheeba
Abstract

Reversible data hiding in the encrypted domain is emerging as a promising solution in secure data hiding applications. When implemented in the encrypted transform domain, it can provide high robustness along with security and privacy. Here we propose two different algorithms, Algorithm 1 and Algorithm 2, with high embedding capacity for reversible image data hiding in the encrypted discrete cosine transform (e-DCT) domain. Both algorithms use Paillier scheme for image encryption. Additive homomorphic property and probabilistic property of Paillier scheme are used to embed the secret data in the encrypted cover image. The Algorithm 1 allows hidden data extraction in plain-text domain whereas Algorithm2 supports the same in the encrypted domain. These algorithms outperform the existing algorithms in terms of the embedding capacity and provide higher PSNR for the same embedding strength. The hidden data, as well as the original cover, can be extracted without loss.

Volume 11 | 01-Special Issue

Pages: 587-597