Benoit Feix
University of Limoges
34 Papers
288 Citations
Benoit Feix is an academic researcher from University of Limoges. The author has contributed to research in topics: Exponentiation & Side channel attack. The author has an hindex of 13, co-authored 34 publications.
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Papers
Horizontal correlation analysis on exponentiation
Christophe Clavier,Benoit Feix,Georges Gagnerot,Mylène Roussellet,Vincent Verneuil +4 more
- 15 Dec 2010
TL;DR: In this paper, the authors present a technique in which they apply correlation analysis using only one execution power curve during an exponentiation to recover the whole secret exponent manipulated by the chip, which cannot be prevented by exponent blinding.
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Horizontal Correlation Analysis on Exponentiation.
TL;DR: In this article, the authors present a technique in which they apply correlation analysis using only one execution power curve during an exponentiation to recover the whole secret exponent manipulated by the chip and analyze the efficiency of classical countermeasures with respect to their attack.
Passive and Active Combined Attacks on AES Combining Fault Attacks and Side Channel Analysis
Christophe Clavier,Benoit Feix,Georges Gagnerot,Mylène Roussellet +3 more
- 10 Sep 2007
TL;DR: This paper demonstrates that combined attacks are also effective on symmetric cryptosystems and shows how they may jeopardize a supposedly state of the art secure AES implementation.
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Improved collision-correlation power analysis on first order protected AES
Christophe Clavier,Benoit Feix,Georges Gagnerot,Mylène Roussellet,Vincent Verneuil +4 more
- 28 Sep 2011
TL;DR: Improvements on collision-correlation attacks which require less power traces than classical second-order power analysis techniques are proposed which show in practice their real efficiency on two first-order protected AES implementations.
ROSETTA for Single Trace Analysis
Christophe Clavier,Benoit Feix,Georges Gagnerot,Christophe Giraud,Mylène Roussellet,Vincent Verneuil +5 more
- 09 Dec 2012
TL;DR: New attacks distinguishing squaring from multiplications using a single side-channel trace is proposed, making them more robust against blinding countermeasures than previous methods even if both exponent and message are randomized, whatever the quality and length of random masks.
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