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Improving the Linear Programming Technique in the Search for Lower Bounds in Secret Sharing

机译:在秘密共享中寻找下界的过程中改进线性编程技术

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We present a new improvement in the linear programming technique to derive lower bounds on the information ratio of secret sharing schemes. We obtain non-Shannon-type bounds without using information inequalities explicitly. Our new technique makes it possible to determine the optimal information ratio of linear secret sharing schemes for all access structures on 5 participants and all graph-based access structures on 6 participants. In addition, new lower bounds are presented also for some small matroid ports and, in particular, the optimal information ratios of the linear secret sharing schemes for the ports of the Vamos matroid are determined.
机译:我们提出了一种线性编程技术的新改进,以得出秘密共享方案的信息比率的下限。我们无需显式使用信息不等式即可获得非香农类型的边界。我们的新技术可以为5位参与者的所有访问结构和6位参与者的所有基于图的访问结构确定线性秘密共享方案的最佳信息比率。此外,还为一些小型拟阵端口提出了新的下界,尤其是确定了Vamos拟阵端口的线性秘密共享方案的最佳信息比率。

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