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首页> 外文期刊>IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences >Optimal Multiple Assignments Based on Integer Programming in Secret Sharing Schemes with General Access Structures
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Optimal Multiple Assignments Based on Integer Programming in Secret Sharing Schemes with General Access Structures

机译:具有通用访问结构的秘密共享方案中基于整数规划的最优多重分配

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摘要

It is known that for any general access structure, a secret sharing scheme (SSS) can be constructed from an (m, m)-threshold scheme by using the so-called cumulative map or from a (t, m)-threshold SSS by a modified cumulative map. However, such constructed SSSs are not efficient generally. In this paper, a new method is proposed to construct a SSS from a (t, m)-threshold scheme for any given general access structure. In the proposed method, integer programming is used to derive the optimal (t, m)-threshold scheme and the optimal distribution of the shares to minimize the average or maximum size of the distributed shares to participants. From the optimality, it can always attain lower coding rate than the cumulative maps because the cumulative maps cannot attain the optimal distribution in many cases. The same method is also applied to construct SSSs for incomplete access structures and/or ramp access structures.
机译:众所周知,对于任何通用访问结构,可以通过使用所谓的累积映射图从(m,m)阈值方案或通过(t,m)阈值SSS构造秘密共享方案(SSS)。修改后的累积图。然而,这种构造的SSS通常不是有效的。本文提出了一种针对任何给定的通用访问结构,从(t,m)阈值方案构建SSS的新方法。在提出的方法中,使用整数规划来得出最佳(t,m)阈值方案和股份的最佳分配,以最大程度地减少分配给参与者的股份的平均或最大大小。从最优性来看,由于累积映射在许多情况下无法获得最佳分布,因此它总是可以获得比累积映射更低的编码率。相同的方法也适用于为不完整的访问结构和/或斜坡访问结构构造SSS。

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