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Automated Analysis of Cryptographic Assumptions in Generic Group Models

机译:通用组模型中加密假设的自动分析

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We initiate the study of principled, automated, methods for analyzing hardness assumptions in generic group models, following the approach of symbolic cryptography. We start by defining a broad class of generic and symbolic group models for different settings - symmetric or asymmetric (leveled) k-linear groups - and by proving "computational soundness" theorems for the symbolic models. Based on this result, we formulate a very general master theorem that formally relates the hardness of a (possibly interactive) assumption in these models to solving problems in polynomial algebra. Then, we systematically analyze these problems. We identify different classes of assumptions and obtain decidability and undecidability results. Then, we develop and implement automated procedures for verifying the conditions of master theorems, and thus the validity of hardness assumptions in generic group models. The concrete outcome of this work is an automated tool which takes as input the statement of an assumption, and outputs either a proof of its generic hardness or shows an algebraic attack against the assumption.
机译:在符号密码学的方法之后,我们开始研究原则,自动化,用于分析通用组模型中的硬度假设的方法。我们首先为不同的设置定义广泛的通用和符号组模型 - 对称或非对称(级)k-linear组 - 并通过证明符号模型的“计算声音”定理。基于这一结果,我们制定了一个非常一般的主定理,它正式地将这些模型中的(可能交互式)假设的硬度涉及解决多项式代数中的问题。然后,我们系统地分析了这些问题。我们识别不同的假设类别,获得可解除性和未脱裂性结果。然后,我们开发和实施用于验证主定理条件的自动化程序,从而实现通用组模型中硬度假设的有效性。这项工作的具体结果是一种自动化工具,它作为输入假设的陈述,并输出其通用硬度证明,或者对这些假设进行了代数攻击。

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