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Interest of MIA in frequency domain?

Mathieu Carbone 1 Yannick Teglia 1 Philippe Maurine 2, 3 Gilles R. Ducharme 4
3 SysMIC - Conception et Test de Systèmes MICroélectroniques
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
4 EPS - Probabilités et statistiques
I3M - Institut de Mathématiques et de Modélisation de Montpellier
Abstract : Mutual Information Analysis (MIA) has a main advantage over Pearson's correlation Analysis (CPA): its ability in detecting any kind of leakage within traces. However, it remains rarely used and less popular than CPA; probably because of two reasons. The first one is related to the appropriate choice of hyperparameters involved in MIA, choice that determines its efficiency and genericity. The second one is surely the high computational burden associated to MIA. The interests of applying MIA in the frequency domain rather than in the time domain are discussed. It is shown that MIA running into the frequency domain is really effective and fast when combined with the use of an accurate frequency leakage model.
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Contributor : Philippe Maurine <>
Submitted on : Friday, January 30, 2015 - 5:44:41 PM
Last modification on : Saturday, July 25, 2020 - 3:08:21 AM



Mathieu Carbone, Yannick Teglia, Philippe Maurine, Gilles R. Ducharme. Interest of MIA in frequency domain?. CS2: Cryptography and Security in Computing Systems, Jan 2015, Amtersdam, Netherlands. pp.35-38, ⟨10.1145/2694805.2694812⟩. ⟨lirmm-01111693⟩



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