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A New Algorithm for Searching a Consistent Set of Shares in a Threshold Scheme with Cheaters

机译:一种新的算法,用于使用骗子的阈值方案搜索一致的一组股票

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In a (k,n) Shamir's 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 efficiency is also investigated.
机译:在a(k,n)Shamir的阈值方案中,如果一个或多个n股是假的,那么某些k股票可能无法正确地重建秘密。假设最多是N股是假的,Rees等。 (1999)描述了两个算法以确定一组份数,以便可以在这些一致集中的任何一个中从k股票中正确地重建秘密。在他们的算法中,没有诚实的参与者可以缺席,至少应该在秘密重建阶段汇集至少N-T股。在本文中,我们提出了一种修改的算法,使得参与秘密重建的参与者的数量可以减少到K + 2T,并且可以将股票汇总到最佳情况下,K + T,且小于或等于其他人的K + 2T。它也调查了其效率。

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