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Procedia Computer Science
Article . 2015 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Procedia Computer Science
Article . 2015
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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DNA Based Multi-secret Image Sharing

Authors: Anbarasi, L. Jani; Mala, G.S. Anandha; Narendra, Modigari;

DNA Based Multi-secret Image Sharing

Abstract

AbstractMultiple secret sharing algorithm using the YCH scheme, combined with DNA encoding is proposed, focusing at better security. Firstly, DNA encoding for multiple images is carried out; then the addition of these encoded components by DNA is performed. Secondly, the (t, n) scheme used the Lagrange interpolation polynomial to share these DNA scrambled matrices is performed. Thirdly, these shares are embedded using a modular operation. Finally, ‘t’ or more shares are pooled which reconstructs the scrambled matrices, and by decoding the DNA scrambled matrices multiple secrets are reconstructed without loss. The simulation results and the security analysis prove that this algorithm is perfect, and produces results with better PSNR value. The correlation co- efficient shows that this also has the ability of resisting various attacks.

Keywords

Image processing., Threshold secret sharing, DNA cryptography, Steganography

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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!
10
Top 10%
Top 10%
Average
gold