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Error-free and mean value based reversible data hiding using gravitational search algorithm in encrypted images

In recent years the data hiding on encrypted image is significant topic for data security. Due to its capability for preserving confidentiality, Reversible Data Hiding (RDH) on encrypted domain will helpful on cloud computing as an emerging technology. In this paper, an error free and mean value bas...

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Bibliographic Details
Published in:Multimedia tools and applications 2022-09, Vol.81 (21), p.30749-30768
Main Authors: Raju, K. Upendra, Prabha, N. Amutha
Format: Article
Language:English
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Summary:In recent years the data hiding on encrypted image is significant topic for data security. Due to its capability for preserving confidentiality, Reversible Data Hiding (RDH) on encrypted domain will helpful on cloud computing as an emerging technology. In this paper, an error free and mean value based RDH process with high capacity on encrypted images is proposed. Here, the image provider (content owner), data hider and data receiver are three parties. Initially, the image provider keeps the averages to obtain the modified image. Encrypt the modified image further through the aid of the encryption key and pass it to data hider. In data hider, Gravitational Search Algorithm (GSA) is utilized to find the best pixel locations in encrypted image for information hiding. Moreover, the similar encrypted image size, an alpha channel is created and then combines the encrypted image and the alpha channel for embedding secret data to make an encrypted image with embedded data. On receiver side, through the aid of encryption key, the receiver recovers the image by decrypting the encrypted image and also the secret bits are removed through the aid of data hiding keys by data extraction. The experimental result demonstrates that proposed system has better performance compared to other state-of- art strategies. The peak signal-to-noise ratio (PSNR) achieved by the proposed system is better than 8.36% and 18.3% compared to other existing works.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-022-12419-9