Collision for Estimating SCA Measurement Quality and Related Applications

Abstract : If the Signal to Noise Ratio (SNR) is a figure of merit commonly used in many areas to gauge the quality of analogue measurements, its use in the context of Side-Channel Attacks (SCA) remains very difficult because the nature and characteristics of the signals are not a priori known. Consequently, the SNR is rarely used in this latter area to gauge the quality of measurements or of experimental protocols followed to acquire them. It is however used to quantify the amount of leakage in a set of traces regardless of the quality of the measures. This is a surprisingly lack despite the key role of measurements and experiments in this field. In this context, this paper introduces a fast and accurate method for estimating the SNR. Then, simple and accurate techniques are derived. They allow to process some daily tasks the evaluators have to perform in a pragmatic and efficient manner. Among them one can find the analysis of the electrical activity of Integrated Circuit (IC) or the identification of the frequencies carrying some information or leakages.
Type de document :
Communication dans un congrès
CARDIS: Smart Card Research and Advanced Applications, Nov 2015, Bochum, Germany. 14th International Conference, CARDIS 2015, Bochum, Germany, November 4-6, 2015. Revised Selected Papers, LNCS (9514), pp.143-157, 2016, Smart Card Research and Advanced Applications. 〈10.1007/978-3-319-31271-2_9〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01319093
Contributeur : Isabelle Gouat <>
Soumis le : vendredi 20 mai 2016 - 12:39:56
Dernière modification le : jeudi 11 janvier 2018 - 02:08:13

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Ibrahima Diop, Mathieu Carbone, Sébastien Ordas, Yanis Linge, Pierre Yvan Liardet, et al.. Collision for Estimating SCA Measurement Quality and Related Applications. CARDIS: Smart Card Research and Advanced Applications, Nov 2015, Bochum, Germany. 14th International Conference, CARDIS 2015, Bochum, Germany, November 4-6, 2015. Revised Selected Papers, LNCS (9514), pp.143-157, 2016, Smart Card Research and Advanced Applications. 〈10.1007/978-3-319-31271-2_9〉. 〈lirmm-01319093〉

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