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Secret sharing based reversible data hiding in encrypted images with multiple
data-hiders
Abstract
The existing models of reversible data hiding in encrypted images (RDH-EI) are based on single
data-hider, where the original image cannot be reconstructed when the data-hider is damaged.
To address this issue, this paper proposes a novel model with multiple data-hiders for RDH-EI
based on secret sharing. It divides the original image into multiple different encrypted images
with the same size of the original image and distributes them to multiple different data-hiders
for data hiding. Each data-hider can independently embed data into the encrypted image to
obtain the corresponding marked encrypted image. The original image can be losslessly
recovered by collecting sufficient marked encrypted images from undamaged data-hiders when
individual data-hiders are subjected to potential damage. This further protects the security of
the original image. We provide four cases of the proposed model, namely, two joint cases and
two separable cases. From the proposed model, we derive a separable RDH-EI method with
high-capacity. Experimental results are presented to illustrate the effectiveness of the proposed
method.

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Secret sharing based reversible data hiding in encrypted images with multiple data hiders

  • 1. 2020 – 2021 #13/ 19, 1st Floor, Municipal Colony, Kangayanellore Road, Gandhi Nagar, Vellore – 6. Off: 0416-2247353 Mo: +91 9500218218 / +91 8220150373 Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com Secret sharing based reversible data hiding in encrypted images with multiple data-hiders Abstract The existing models of reversible data hiding in encrypted images (RDH-EI) are based on single data-hider, where the original image cannot be reconstructed when the data-hider is damaged. To address this issue, this paper proposes a novel model with multiple data-hiders for RDH-EI based on secret sharing. It divides the original image into multiple different encrypted images with the same size of the original image and distributes them to multiple different data-hiders for data hiding. Each data-hider can independently embed data into the encrypted image to obtain the corresponding marked encrypted image. The original image can be losslessly recovered by collecting sufficient marked encrypted images from undamaged data-hiders when individual data-hiders are subjected to potential damage. This further protects the security of the original image. We provide four cases of the proposed model, namely, two joint cases and two separable cases. From the proposed model, we derive a separable RDH-EI method with high-capacity. Experimental results are presented to illustrate the effectiveness of the proposed method.