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An Approach for Secret Sharing Using Randomised Visual Secret Sharing

Authors: Shubhra Dixit; Deepak Kumar Jain; Ankita Saxena;

An Approach for Secret Sharing Using Randomised Visual Secret Sharing

Abstract

Visual secret sharing is the technique that divide the secret image into n multiple shares. Each share constitutes some information and when k shares out of n stack together the secret will reveal. However, less than k shares are not work. Sharing is the idea from secret sharing scheme that was presented in 1975 by Adi Shamir. The beauty of the visual secret sharing scheme is its decryption process i.e. To decrypt the secret using Human Visual System (HVS) without any computation. Visual cryptography is presented by Noar and Shamir in 1995 including also visual secret sharing. The resultant secret recover through this scheme is double in size of the original secret [17]. We have proposed the new algorithms for the (2, 2) visual cryptography and (3, 3) visual secret sharing. Our proposed schemes are for gray scale image and by stacking the shares, the resultant image achieved in same size with original secret image and Its shadow Image. We used randomization and pixel reversal approach in all methods.

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
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