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Threshold changeable secret image sharing scheme based on interpolation polynomial

  • Yan-Xiao LiuEmail author
  • Ching-Nung Yang
  • Chi-Ming Wu
  • Qin-Dong Sun
  • Wei Bi
Article
  • 19 Downloads

Abstract

In previous (k,n) secret image sharing scheme, the threshold k is decided by dealer according to the security requirement, and this threshold value is fixed without considering the dynamic secure environment in future. In this work, we propose a novel threshold changeable secret image sharing scheme where the threshold value can be changed according to the changeable security requirement. In our scheme, each participant only needs to keep one initial shadow. When reconstructing image, the dealer decides the threshold according to security level. If the threshold is unchanged, any k or more initial shadows can recover the image; else if the threshold is increased or decreased, dealer publishes additional information, each participant update their shadows accordingly such that the threshold of updated shadows is changed correspondingly. The contribution of our work is that the threshold of shadows can be changed flexibly to satisfy the dynamic secure environment, and each participant only need to keep one initial shadows. The feature of threshold changeable makes our scheme more practical than previous secret image sharing in some complicated applications.

Keywords

Secret image sharing Threshold changeable Interpolation polynomial 

Notes

Acknowledgements

The research presented in this paper is supported in part by the China National Natural Science Foundation (No.: 61502384, 61571360, 61872289), Shaanxi Science and Technology Co-ordination and Innovation Project (No.: 2016KTZDGY05-09), and the Innovation Project of Shaanxi Provincial Department of Education (No.: 17JF023). This research was supported in part by Ministry of Science and Technology (MOST), under Grant 107-2221-E-259-007.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.XI’AN University of TechnologyXi’anChina
  2. 2.Department of CSIENational Dong Hwa UniversityHualien CountryTaiwan
  3. 3.SeeleTech CorporationSan FranciscoUSA

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