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On Conditional alpha-Information and its Application to Side-Channel Analysis: On Conditional α-Information and its Application to Side-Channel Analysis

Yi Liu 1, 2, 3 Wei Cheng 1, 2, 3 Sylvain Guilley 4, 2, 3, 5 Olivier Rioul 1, 2, 3
1 COMNUM - Communications Numériques
LTCI - Laboratoire Traitement et Communication de l'Information
4 SSH - Secure and Safe Hardware
LTCI - Laboratoire Traitement et Communication de l'Information
Abstract : A conditional version of Sibson's α-information is defined using a simple closed-form "log-expectation" expression, which satisfies important properties such as consistency, uniform expansion, and data processing inequalities. This definition is compared to previous ones, which in contrast do not satisfy all of these properties. Based on our proposal and on a generalized Fano inequality, we extend the case α = 1 of previous works to obtain sharp universal upper bounds for the probability of success of any type side-channel attack, particularly when α = 2.
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https://hal.telecom-paris.fr/hal-03323522
Contributor : Olivier Rioul Connect in order to contact the contributor
Submitted on : Wednesday, September 15, 2021 - 9:49:25 AM
Last modification on : Tuesday, October 19, 2021 - 11:16:45 AM

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  • HAL Id : hal-03323522, version 1

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Yi Liu, Wei Cheng, Sylvain Guilley, Olivier Rioul. On Conditional alpha-Information and its Application to Side-Channel Analysis: On Conditional α-Information and its Application to Side-Channel Analysis. 2021 IEEE Information Theory Workshop (ITW2021), Oct 2021, Kanazawa, Japan. ⟨hal-03323522⟩

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