Stochastic Side-Channel Leakage Analysis via Orthonormal Decomposition

Sylvain Guilley, Annelie Heuser, Tang Ming, Olivier Rioul

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Side-channel attacks of maximal efficiency require an accurate knowledge of the leakage function. Template attacks have been introduced by Chari et al. at CHES 2002 to estimate the leakage function using available training data. Schindler et al. noticed at CHES 2005 that the complexity of profiling could be alleviated if the evaluator has some prior knowledge on the leakage function. The initial idea of Schindler is that an engineer can model the leakage from the structure of the circuit. However, for some thin CMOS technologies or some advanced countermeasures, the engineer intuition might not be sufficient. Therefore, inferring the leakage function based on profiling is still important. In the state-of-the-art, though, the profiling stage is conducted based on a linear regression in a non-orthonormal basis. This does not allow for an easy interpretation because the components are not independent. In this paper, we present a method to characterize the leakage based on a Walsh-Hadamard orthonormal basis with staggered degrees, which allows for direct interpretations in terms of bits interactions. A straightforward application is the characterization of a class of devices in order to understand their leakage structure. Such information is precious for designers and also for evaluators, who can devise attack bases relevantly.

Original languageEnglish
Title of host publicationInnovative Security Solutions for Information Technology and Communications - 10th International Conference,SecITC 2017, Revised Selected Papers
EditorsPooya Farshim, Emil Simion
PublisherSpringer Verlag
Pages12-27
Number of pages16
ISBN (Print)9783319692838
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event10th International Conference on Innovative Security Solutions for Information Technology and Communications, SECITC 2017 - Bucharest, Romania
Duration: 8 Jun 20179 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10543 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Innovative Security Solutions for Information Technology and Communications, SECITC 2017
Country/TerritoryRomania
CityBucharest
Period8/06/179/06/17

Keywords

  • Leakage characterization
  • Leakage model
  • Orthonormal bases
  • Pseudo-Boolean functions
  • Side-channel analysis
  • Stochastic attacks

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