(3, n)-visual secret sharing scheme with unexpanded shares

NCUIR > School of Management at National Central University > Department of Information Management > journal & Dissertation > Item 987654321/106163

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106163

Title:	(3, n)-visual secret sharing scheme with unexpanded shares
Authors:	蔡志豐;Hou, Young-Chang;Quan, Zen-Yu;Tsai, Chih-Fong;Wang, Dao-Shun
Contributors:	管理學院資訊管理學系
Keywords:	Computation;Cryptography;Design analysis;Design engineering;Design parameters;Encryption;Image contrast;Image restoration
Date:	2016-03-01
Issue Date:	2026-04-23 13:11:40 (UTC+8)
Publisher:	Science Press
Abstract:	摘要： Visual secret sharing scheme(VSSS)is a method to encode a secret image into n noise-like shadow images called shares.Decryption is possible by overlapping an adequate number(say,t)of shares.The hidden secret message will be naturally revealed and can be decoded by the human visual system(HVS)without the necessity of any complicated computation or replacement algorithms.Moreover,no knowledge of sophisticated cryptographic techniques is needed for theencryption and decryption processes.However,the secret image will be invisible if the number of stacked shares is less than t.This is so called(t,n)-threshold visual cryptography scheme((t,n)-VCS).The greatest advantage of this decryption process is that neither complex computations nor any knowledge about VCS are needed.It is a simple and safe secret sharing method for the decoding of secret images when computer-resources are lacking.(3,n)-threshold visual secret sharing scheme((3,n)-VSSS)is a special case of(t,n)-VSSS.In previous related(t,n)-VSSS researches,thei 出版日期： 2016-03-01 出處： Jísuánjī xuébào, 2016-03, Vol.39 (3) 資源來源： Alma/SFX Local Collection 識別號： ISSN: 0254-4164 識別號： DOI: 10.11897/SP.J.1016.2016.00441
Appears in Collections:	[Department of Information Management] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	20	View/Open

社群 sharing

Loading...