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Weighted visual secret sharing with multiple decryptions and lossless recovery
Author(s) -
Feng Liu,
Xuehu Yan,
Lintao Liu,
Yuliang Lu,
Longdan Tan
Publication year - 2019
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2019287
Subject(s) - lossless compression , secret sharing , image (mathematics) , computer science , bitwise operation , image sharing , scheme (mathematics) , homomorphic secret sharing , visual cryptography , verifiable secret sharing , theoretical computer science , exclusive or , algorithm , mathematics , artificial intelligence , cryptography , decoding methods , data compression , set (abstract data type) , mathematical analysis , programming language
Traditional visual secret sharing (VSS) encodes the original secret image into n shares, and each share is of equal importance. However, in some scenarios, we need to make a difference between the participants according to the levels of their importance. Therefore, the capability of each share to recover the original secret image will be different. In this paper, we proposed a weighted (k,n)-threshold random grid VSS(RG-VSS) with multiple decrytions and lossless recovery. When we get k or more shares for decryption, we will recover different levels of the original image because of the different weights of the shares. More importantly, the secret information can be recovered by OR and XOR operations in our scheme. When we get all the n shares and using the XOR operation to recover the image, we can recover the secret information losslessly. The experimental results and analyses show that our scheme outperforms the related schemes.

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