一种新颖的支持共享优先级的线性有界秘密共享方案

Subhajyoti Barman, Hiran Nandy, S. Biswas
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引用次数: 0

摘要

秘密共享是一种将秘密分解为多个共享的技术,通过这种方式,秘密只能通过至少具有特定最小大小的共享子集来重建。Adi Shamir和George Blackley首次单独提出了秘密共享的思想,但这些方案的主要问题是高计算复杂度和像共享这样的噪声。然而,使用当前最先进的方案,可以在线性时间内执行此任务,而不会产生像股票那样的噪声。现有计划不支持为股份子集提供特权。如果能够在秘密分解过程中为一组股份分配特殊的优先级,这将是一个新颖的概念。因此,提出了一种线性时限方案,将任意秘密分解为N个股份,其中M (M≤N)个股份享有特权。在实际秘密的重建过程中,需要一个最小大小为K (M≤K≤N)的股份子集,该子集本质上包含了所有特权股份或强制股份。
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A novel linearly bounded secret sharing scheme that supports prioritization of shares
Secret Sharing is a technique of decomposing a secret into number of shares in such a manner that reconstruction of the secret is only possible by a subset of shares that has at least a specific minimum size. Adi Shamir and George Blackley individually proposed the idea of Secret Sharing for the first time, but high computational complexity and noise like shares are the main issues of these schemes. However, using current state of the art schemes it is possible to perform this task in linear time without producing noise like shares. Providing special privilege to a subset of shares is not supported by the existing schemes. It would be a novel concept if it is possible to assign special priority to a set of shares during decomposition of secrets. Hence a linear time bounded scheme is being proposed which decomposes any secret into N number of shares among which M (M≤N) of them are specially privileged. During reconstruction of the actual secret, a subset of shares with a minimum size K (M≤K≤N) which essentially contains all the specially privileged shares or mandatory shares is required.
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