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A New Cube Attack on MORUS by Using Division Property

机译:利用除法属性对MORUS进行新的多维数据集攻击

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MORUS is an authenticated encryption algorithm and one of the candidates in the CAESAR competition. Currently, the security of MORUS received extensive attention. In this paper, a new existence terms detection method in superpoly recovery phase in cube attack is proposed. More precisely, the upper bounding degree of superpoly is first estimated by using the cube attack based on the division property with Mixed Integer Linear Programming tool. Moreover, the $t$t-degree monomials that may be involved in the superpoly are divided into two groups, where the elements of the first group can be directly determined without using the solver via the embedded property. Compared with previous methods, the time consumption by the solvers of our new method is reduced significantly. In particular, the truth table from only the existent terms can be used to recover the superpoly in the offline phase of the cube attack. Therefore, the time complexity of cube attack can be further reduced. As illustrative example, the security of the reduced-step variants of MORUS-640-128 against cube attack is evaluated by using this new method. It is demonstrated that the key recovery attacks can be applied to 6/7-step MORUS-640-128. Furthermore, some integral distinguishers of 7-step MORUS-640-128/MORUS-1280-256 are achieved.
机译:MORUS是一种经过认证的加密算法,是CAESAR竞赛的候选者之一。目前,MORUS的安全性受到广泛关注。提出了一种新的多维数据集攻击中处于超级恢复阶段的存在项检测方法。更准确地说,首先通过使用基于混合属性线性规划工具的除法属性的多维数据集攻击来估计超级垄断的上限程度。此外,可能包含在超级垄断中的$ t $ t度单项式分为两组,其中第一组的元素可以直接确定,而无需通过嵌入属性使用求解器。与以前的方法相比,我们的新方法的求解器所花费的时间大大减少了。特别地,仅来自现有术语的真值表可用于在多维数据集攻击的脱机阶段中恢复超级垄断。因此,可以进一步降低多维数据集攻击的时间复杂度。作为说明性示例,使用此新方法评估了MORUS-640-128减少步骤的变体对多维数据集攻击的安全性。结果表明,密钥恢复攻击可以应用于6/7步骤MORUS-640-128。此外,实现了7步MORUS-640-128 / MORUS-1280-256的一些整体区分器。

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