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General Constructions for Threshold Multiple-Secret Visual Cryptographic Schemes

机译:阈值多秘密视觉密码方案的一般构造

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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 $P_{1},P_{2},ldots,P_{s}$ into $n$ shares such that any group of less than $k$ shares obtains none of the secrets, while 1) each group of $k,k+1,ldots,n$ shares reveals $P_{1},P_{2},ldots,P_{s}$ , respectively, when superimposed, referred to as $(k,n,s)$-MVCS where $s=n-k+1$; or 2) each group of $u$ shares reveals $P_{r_{u}}$ where $r_{u}in{0,1,2,ldots,s}$ ($r_{u}=0$ indicates no secret can be seen), $kleq uleq n$ and $2leq sleq n-k+1$, referred to as $(k,n,s,R)$-MVCS in which $R=(r_{k},r_{k+1},ldots,r_{n})$ 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.
机译:传统的阈值($ n $中的$ k $)视觉秘密共享方案将一个秘密图像$ P $编码为$ n $透明胶片(称为“股份”),这样,任何一组$ k $透明胶片在叠加时都会显示$ P $ ,而少于$ k $的用户则不能。我们定义并开发了阈值多秘密视觉密码方案(MVCS)的通用构造,该方案能够将$ s $秘密图像$ P_ {1},P_ {2},ldots,P_ {s} $编码为$ n $份这样,任何少于$ k $的组都不会获得任何秘密,而1)每组$ k,k + 1,ldots,n $的组揭示了$ P_ {1},P_ {2},ldots,P_ {s} $分别叠加时称为$(k,n,s)$-MVCS,其中$ s = n-k + 1 $;或2)每组$ u $的份额显示$ P_ {r_ {u}} $,其中$ r_ {u} in {0,1,2,ldots,s} $($ r_ {u} = 0 $表示否可以看到秘密),$ kleq uleq n $和$ 2leq sleq n-k + 1 $,称为$(k,n,s,R)$-MVCS,其中$ R =(r_ {k},r_ {k + 1},ldots,r_ {n})$称为显示列表。我们采用线性编程的技巧将$(k,n,s)$-和$(k,n,s,R)$ -MVCSs建模为整数线性程序,从而在所有必要约束下将像素扩展最小化。探索了不同问题尺度的像素扩展,这在文献中从未报道过。我们的建筑新颖而灵活。可以轻松定制它们以应对各种MVCS。

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