A Secured Framework for Sharing Data using Diverse Image Media and Image Encryption

Ashish Singh; Ajay Kumar Gupta

CALL FOR PAPERS : Dec-2023

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25-Dec-23

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A Secured Framework for Sharing Data using Diverse Image Media and Image Encryption

Author(s):

Ashish Singh , SP’S IOK college of engineering Shirur, Savitribai Phule Pune University; Ajay Kumar Gupta, SP’S IOK college of engineering Shirur, Savitribai Phule Pune University

Keywords:

Visual secret sharing scheme, extended visual cryptography scheme, natural images, transmission risk

Abstract:

Secret images in shares that are either encoded and stored in a digital form or printed on transparencies or are hidden in Conventional visual secret sharing (VSS) scheme. Appearance of the shares as noisy-like pixels or as meaningful images; during the transmission of the shares it can cause suspicion and increase interception risk. Hence, transmission risk problem for the secret itself and for the involved participants in this scheme will be suffered in VSS schemes. To solve the transmission risk problem, we proposed a natural-image-based VSS scheme (NVSS scheme) in which secret images is shared via various carrier media so that the secret and the participants can be protected during the transmission. The proposed scheme can share one secret image over n selected natural images (called natural shares) and one noise-like share. Any kind of photos or hand-painted pictures in digital form or in printed form can be the natural shares. Based on these natural shares and the secret image the noise-like share is generated. The transmission risk problem can be reduced as the unchanged natural shares are diverse and innocuous. We also hide the noise like share to reduce the transmission risk problem. We have also used planned randomness in which during steganography the pixels are not stored in the carrier image original position instead the key is added to the original pixel position to obtain the new position which added additional security. Also we used alpha channel watermarking to find whether the images pixels are changed or not if changed then we can’t get the original image.