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Far Correlation-based EMA with a precharacterized leakage model

机译:具有预先表征的泄漏模型的基于远相关的EMA

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Electromagnetic analysis is an important class of attacks against cryptographic devices. In this article, we prove that Correlation-based on ElectroMagnetic Analysis (CEMA) on a hardware-based high-performance AES module is possible from a distance as far as 50 cm. First we show that the signal-to-noise ratio (SNR) tends to a non-zero limit when moving the antenna away from the cryptographic device. An analysis of the leakage structure shows that the Hamming distance model, although suitable for small distances gets more and more distorted when the antenna is displaced far from the device. As we cannot devise any physical model that would predict the observations, we instead pre-characterized it using a first order templates construction. With this model, we enhanced the CEMA by a factor up to ten. Therefore, we conclude that EMA at large distance is feasible with our amplification strategy coupled to an innovative training phase aiming at precharacterizing accurate coefficients of a parametric weighted distance leakage model.
机译:电磁分析是针对密码设备的重要攻击类型。在本文中,我们证明了基于硬件的高性能AES模块上基于电磁分析(CEMA)的相关性在远至50 cm的距离上都是可能的。首先,我们表明,当将天线从加密设备上移开时,信噪比(SNR)趋于非零极限。对泄漏结构的分析表明,汉明距离模型(尽管适用于小距离)在天线远离设备放置时会越来越失真。由于我们无法设计出任何可以预测观测结果的物理模型,因此我们使用一阶模板构造对其进行了预先表征。使用此模型,我们将CEMA提高了多达10倍。因此,我们得出结论,将我们的放大策略与旨在预先表征参数加权距离泄漏模型的准确系数的创新训练阶段相结合,在远距离进行EMA是可行的。

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