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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防止自适应对手攻击：零错误案例

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摘要

We consider a generalized adaptive and active adversary model for unconditionally secure Multi-Party Computation (MPC) in the zero error case.

机译：我们考虑零误差情况下的无条件安全多方计算（MPC）的广义自适应主动防御模型。

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Nikov V; Nikova Svetla; Preneel Bart;
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年度 2003
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正文语种 en
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专利

1. Linear multi-secret sharing schemes based on multi-party computation [J] . Mulan Liu, Liangliang Xiao, Zhifang Zhang Finite fields and their applications . 2006,第4期

机译：基于多方计算的线性多机密共享方案
2. A novel verifiable and unconditionally secure (m, t, n)-threshold multi-secret sharing scheme using overdetermined systems of linear equations over finite Galois fields [J] . Kamel Mohamed Faraoun International journal of information and computer security . 2019,第1期

机译：一种新的可验证且无条件安全的（m，t，n）门限多秘密共享方案，该方法使用有限Galois字段上的线性方程组的超定系统
3. Secure secret reconstruction and multi-secret sharing schemes with unconditional security [J] . Lein Harn Security and communication networks . 2014,第3期

机译：具有无条件安全性的安全秘密重建和多秘密共享方案
4. Multi-party Computation from Any Linear Secret Sharing Scheme Unconditionally Secure against Adaptive Adversary: The Zero-Error Case [C] . Ventzislav Nikov, Svetla Nikova, Bart Preneel Applied Cryptography and Network Security . 2003

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
5. On Adaptive Security and Round Efficiency in Secure Multi-Party Computation. [D] . Choi, Seung Geol. 2010

机译：安全多方计算中的自适应安全性和舍入效率。
6. A Secure and Efficient Scalable Secret Image Sharing Scheme with Flexible Shadow Sizes [O] . Dong Xie, Lixiang Li, Haipeng Peng, -1

机译：具有灵活阴影大小的安全高效的可扩展秘密图像共享方案
7. Multi-party Computation from Any Linear Secret Sharing Scheme Unconditionally Secure against Adaptive Adversary: The Zero-Error Case [O] . Ventzislav Nikov, Svetla Nikova, Bart Preneel 2003

机译：来自任何线性秘密共享方案的多方计算无条件地防止自适应对手：零误差案例

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

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