再次访问防故障屏蔽

Thorben Moos, A. Moradi, Tobias Schneider, François-Xavier Standaert
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引用次数: 24

摘要

在硬件上实现屏蔽对抗是一项微妙的任务。在过去几年中,为此目的提出了各种解决方案:我们专注于阈值实现(TIs),面向域的掩蔽(DOM),统一掩蔽方法(UMA)和通用低延迟掩蔽(GLM)。后者通常会提出创新的想法,以应对诸如故障之类的物理默认情况。然而,与面向软件的屏蔽的情况相反,这些方案还没有在任意的安全顺序下得到正式证明,它们的可组合性属性也不清楚。到目前为止,只有Ishai、Sahai和Wagner提出的两个周期的屏蔽方案在稳健探测模型(探测模型的一种变体,旨在捕获任何数量的股票的物理默认值,如故障)中被证明是安全和可组合的。在本文中,我们认为TIs、DOM、UMA和GLM缺乏证据,使得随着股份数量的增加,对它们的安全保证的解释变得困难。为此,我们首先提出所有这些方案的高阶变体都受到(鲁棒)探测模型中(局部或可组合)安全缺陷的影响,由于刷新不足。然后,我们证明了对故障的可组合性和鲁棒性不能独立分析。最后,我们详细介绍了这些抽象的缺陷如何转化为具体的(实验性的)攻击,并讨论了鲁棒探测安全性对寄存器需求的附加约束。尽管没有系统地导致在低安全等级下的复杂性的改进,例如,关于成功攻击所需的测量数量,我们认为这些弱点为在更高安全等级下的鲁棒探测模型(或类似抽象)中需要安全性证明提供了一个案例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Glitch-Resistant Masking Revisited
Implementing the masking countermeasure in hardware is a delicate task. Various solutions have been proposed for this purpose over the last years: we focus on Threshold Implementations (TIs), Domain-Oriented Masking (DOM), the Unified Masking Approach (UMA) and Generic Low Latency Masking (GLM). The latter generally come with innovative ideas to cope with physical defaults such as glitches. Yet, and in contrast to the situation in software-oriented masking, these schemes have not been formally proven at arbitrary security orders and their composability properties were left unclear. So far, only a 2-cycle implementation of the seminal masking scheme by Ishai, Sahai and Wagner has been shown secure and composable in the robust probing model – a variation of the probing model aimed to capture physical defaults such as glitches – for any number of shares.In this paper, we argue that this lack of proofs for TIs, DOM, UMA and GLM makes the interpretation of their security guarantees difficult as the number of shares increases. For this purpose, we first put forward that the higher-order variants of all these schemes are affected by (local or composability) security flaws in the (robust) probing model, due to insufficient refreshing. We then show that composability and robustness against glitches cannot be analyzed independently. We finally detail how these abstract flaws translate into concrete (experimental) attacks, and discuss the additional constraints robust probing security implies on the need of registers. Despite not systematically leading to improved complexities at low security orders, e.g., with respect to the required number of measurements for a successful attack, we argue that these weaknesses provide a case for the need of security proofs in the robust probing model (or a similar abstraction) at higher security orders.
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