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首页> 外文期刊>The Journal of Combinatorial Mathematics and Combinatorial Computing >On Algorithms for Searching a Consistent Set of Shares in a Threshold Scheme and the Related Covering Problem
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On Algorithms for Searching a Consistent Set of Shares in a Threshold Scheme and the Related Covering Problem

机译:阈值方案中一致的股票集搜索算法及相关覆盖问题

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摘要

In the Shamir (k, n) threshold scheme, if one or more of the n shares are fake, then the secret may not be reconstructed correctly by some sets of k shares. Supposing that at most t of the n shares are fake, Rees et al. (1999) described two algorithms to determine consistent sets of shares so that the secret can be reconstructed correctly from k shares in any of these consistent sets. In their algorithms, no honest participant can be absent and at least n - t shares should be pooled during the secret reconstruction phase. In this paper, we propose a modified algorithm for this problem so that the number of participants taking part in the secret reconstruction can be reduced to k + 2t and the shares need to be pooled can be reduced to, in the best case, k + t, and less than or equal to k + 2t in the others. Its performance is evaluated. A construction for t-covermgs, which play key roles in these algorithms, is also provided.
机译:在Shamir(k,n)阈值方案中,如果n个共享中的一个或多个是伪造的,则秘密可能无法通过某些k个共享集正确地重建。 Rees等人假设n股中最多t股是假的。 (1999年)描述了两种确定一致份额集的算法,以便可以从这些一致集合中的任何一个中的k个份额正确地重建秘密。在他们的算法中,没有诚实的参与者可以缺席,并且在秘密重建阶段至少应合并n-t份。在本文中,我们针对此问题提出了一种改进的算法,以便将参与秘密重构的参与者的数量减少到k + 2t,并且需要合并的份额可以减少到最佳情况下的k + t,其他则小于或等于k + 2t。评估其性能。还提供了在这些算法中起关键作用的t-covermgs的结构。

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