By Topic

General Constructions for Threshold Multiple-Secret Visual Cryptographic Schemes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Shyong Jian Shyu ; Dept. of Comput. Sci. & Inf. Eng., Ming Chuan Univ., Taoyuan, Taiwan ; Hung-Wei Jiang

A conventional threshold (k out of n) visual secret sharing scheme encodes one secret image P into n transparencies (called shares) such that any group of k transparencies reveals P when they are superimposed, while that of less than k ones cannot. We define and develop general constructions for threshold multiple-secret visual cryptographic schemes (MVCSs) that are capable of encoding s secret images P1,P2,...,Ps into n shares such that any group of less than k shares obtains none of the secrets, while 1) each group of k, k+1,..., n shares reveals P1, P2, ..., Ps, respectively, when superimposed, referred to as (k, n, s)-MVCS where s=n-k+1; or 2) each group of u shares reveals P(ru) where ru ∈ {0,1,2,...,s} (ru=0 indicates no secret can be seen), kun and 2 ≤ sn-k+1, referred to as (k, n, s, R)-MVCS in which R=(rk, rk+1, ..., rn) is called the revealing list. We adopt the skills of linear programming to model (k, n, s) - and (k, n, s, R) -MVCSs as integer linear programs which minimize the pixel expansions under all necessary constraints. The pixel expansions of different problem scales are explored, which have never been reported in the literature. Our constructions are novel and flexible. They can be easily customized to cope with various kinds of MVCSs.

Published in:

Information Forensics and Security, IEEE Transactions on  (Volume:8 ,  Issue: 5 )