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Verifiable Private Polynomial Evaluation

机译:可验证的私人多项式评估

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Delegating the computation of a polynomial to a server in a verifiable way is challenging. An even more challenging problem is ensuring that this polynomial remains hidden to clients who are able to query such a server. In this paper, we formally define the notion of Private Polynomial Evaluation (PPE). Our main contribution is to design a rigorous security model along with relations between the different security properties. We define polynomial protection (PP), proof unforgeability (UNF), and indistinguishability against chosen function attack (IND-CFA), which formalizes the resistance of a PPE against attackers trying to guess which polynomial is used among two polynomials of their choice. As a second contribution, we give a cryptanalysis of two PPE schemes of the literature. Finally, we design a PPE scheme called PIPE and we prove that it is PP-, UNF- and IND-CFA-secure under the decisional Diffie-Hellman assumption in the random oracle model.
机译:以可验证的方式将多项式的计算委托给服务器具有挑战性。更具挑战性的问题是,确保该多项式对于能够查询此类服务器的客户端保持隐藏状态。在本文中,我们正式定义了专用多项式评估(PPE)的概念。我们的主要贡献是设计严格的安全模型以及不同安全属性之间的关系。我们定义了多项式保护(PP),证明不可伪造(UNF)和针对所选函数攻击的不可区分性(IND-CFA),这使PPE对攻击者的抵抗形式化,从而试图猜测他们选择的两个多项式中使用了哪个多项式。作为第二个贡献,我们对文献中的两种PPE方案进行了密码分析。最后,我们设计了一个称为PIPE的PPE方案,并证明在随机预言机模型的决策Diffie-Hellman假设下,它是PP-,UNF-和IND-CFA-安全的。

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