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Multi-party Computation from Any Linear Secret Sharing Scheme Unconditionally Secure against Adaptive Adversary: The Zero-Error Case

机译:来自任何线性秘密共享方案的多方计算无条件地抵抗自适应对手:零错误案例

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We consider a generalized adaptive and active adversary model for unconditionally secure Multi-Party Computation (MPC) in the zero error case. Cramer et al. proposed a generic approach to build a multiplicative Monotone Span Programs (MSP) - the special property of a Linear Secret Sharing Schemes (LSSS) that is needed to perform a multiplication of shared values. They give an efficient generic construction to build veri-fiability into every LSSS and to obtain from any LSSS a multiplicative LSSS for the same access structure. But the multiplicative property guarantees security against passive adversary only. For an active adversary a strong multiplicative property is required. Unfortunately there is no known efficient construction to obtain a strongly multiplicative LSSS yet. Recently Nikov et al. have expanded the construction of Cramer et al. using a different approach. Multiplying two different MSP M_1 and M_2 computing the access structures Γ_1 and Γ_2 a new MSP M called "resulting" is obtained. M computes a new access structure Γis contained in Γ_1 (or Γ_2). The goal of this construction is to enable the investigation of how the properties that Γ should fulfil are linked to the initial access structures Γ_1 and Γ_2 It is proved that Γ_2 should be a dual access structure of Γ_I in order to have a multiplicative resulting MSP. But there are still not known requirements for initial access structures in order to obtain strongly multiplicative resulting MSP. Nikov et al. proved that to have unconditionally secure MPC the following minimal conditions for the resulting access structure should be satisfied (Γ_A⊕Γ_A)~⊥is contained in Γ. In this paper we assume that the resulting MSP could be constructed such that the corresponding access structure Γ satisfies the required properties. Our goal is to study the requirements that Γ should fulfil in order to have an MPC unconditionally secure against adaptive and active adversary in the zero error case. First, we prove that Γ could satisfy weaker conditions than those in Nikov et al., namely Γ_A~⊥is contained in Γ. Second, we propose a commitment "degree reduction" protocol which allows the players to "reduce" one access structure, e.g. Γ, to another access structure Γ_3 This reduction protocol appears to be a generalization of the reduction protocol of Cramer et al. in the sense that we can choose to reduce Γ to the initial access structures Γ_1 or Γ_2, or to a new one Γ_3. This protocol is also more efficient, since it requires less Verifiable Secret Sharing Schemes to be used.
机译:我们考虑零误差情况下无条件安全的多方计算(MPC)的广义自适应主动防御模型。 Cramer等。提出了一种通用方法来构建乘法单调跨度程序(MSP)-线性秘密共享方案(LSSS)的特殊属性,用于执行共享值的乘法。它们提供了一种有效的通用构造,以将可验证性构建到每个LSSS中,并从任何LSSS中获得用于同一访问结构的乘法LSSS。但是可乘性只保证对被动对手的安全性。对于积极的对手,需要强大的可乘性。不幸的是,还没有已知的有效构造来获得强乘法LSSS。最近,Nikov等人。已经扩大了Cramer等人的结构。使用不同的方法。将两个不同的MSP M_1和M_2乘以计算访问结构Γ_1和Γ_2,就得到了一个称为“结果”的新MSPM。 M计算包含在Γ_1(或Γ_2)中的新访问结构Γis。该构造的目的是使得能够研究Γ应该满足的属性如何与初始访问结构Γ_1和Γ_2相关联。证明了Γ_2应该是Γ_I的双重访问结构,以便获得可乘的结果MSP。但是,对于获得强可乘结果MSP的初始访问结构,仍然没有已知的要求。 Nikov等。证明为了拥有无条件安全的MPC,应满足以下最低要求,以保证所得到的访问结构(Γ_A⊕Γ_A)〜⊥包含在Γ中。在本文中,我们假设可以构造生成的MSP,以使相应的访问结构Γ满足所需的属性。我们的目标是研究Γ应该满足的条件,以使MPC在零错误情况下无条件地防御自适应和主动对手。首先,我们证明了Γ可以满足比Nikov等人所要求的条件更弱的条件,即Γ_A〜⊥包含在Γ中。其次,我们提出一个承诺的“度降低”协议,该协议允许玩家“减少”一个访问结构,例如。 Γ,到另一个访问结构Γ_3。此归约协议似乎是Cramer等人的归约协议的概括。从某种意义上说,我们可以选择将Γ减少到初始访问结构Γ_1或Γ_2,或减少到一个新的Γ_3。由于该协议要求使用较少的可验证秘密共享方案,因此它也更加有效。

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