Moments-Correlating DPA
Moments-Correlating DPA
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时刻-关联 DPA
DOI：
10.1145/2996366.2996369
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
François
中科院分区：
文献类型：
--
作者：
A. Moradi;François
我们将相关增强功率分析的碰撞攻击概括为与矩相关的DPA。所得的区分程序适用于剖面和非封闭式（碰撞）设置，并且能够利用任何统计时刻的信息。它还可以从简单的大脑规则中受益，以估计其数据复杂性。实验结果表明，这样的工具允许对有关侧通道对策设计的一些重要问题充满信心地回答（例如，在实现阈值实现的泄漏中，最有用的统计时刻是什么）。我们进一步认为，与矩相关的DPA是泄漏检测测试的自然候选者，享有相关功率分析的简单性和高级功能，以评估具有易于强度置信度的高阶攻击。
We generalize correlation-enhanced power analysis collision attacks into moments-correlating DPA. The resulting distinguisher is applicable to the profiled and non-profiled (collision) settings and is able to exploit information lying in any statistical moment. It also benefits from a simple rule-of-thumb to estimate its data complexity. Experimental results show that such a tool allows answering with confidence to some important questions regarding the design of side-channel countermeasures (e.g. what is the most informative statistical moment in the leakages of a threshold implementation). We further argue that moments-correlating DPA is a natural candidate for leakage detection tests, enjoying the simplicity of correlation power analysis and advanced features for the evaluation of higher-order attacks with an easy-to-compute confidence level.